824 Data Platform jobs in the United Kingdom
Product Owner - Data Platform
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We’re on the lookout for a visionary Data Platform Product Owner to help lead the evolution of our cloud-native data platform and deliver real business value through data.
Who We Are
You’ll be joining our rapidly expanding Engineering team, collaborating with talented Data and Software professionals, and engaging closely with stakeholders across our Technology function and wider business. Your role is pivotal in driving innovative solutions forward and aligning with our ambitious change agenda.
Together, you’ll help shape the organisation’s future by pushing boundaries and transforming ideas into reality. Join us on this journey of growth, creativity, and collaboration as we set new benchmarks in data engineering excellence. Your contribution is key to our shared success.
What Will You Be Doing
As Data Platform Product Owner, you will join a high-performing team responsible for accepting, prioritising, and managing all types of work within the Data Platform-including business projects, internal initiatives, change requests, and unplanned work. You will gather feature requests, agree sprint goals and objectives, and distil business value and goals into actionable roadmaps while refining the product backlog. Your primary responsibility is to ensure measurable business benefit and value are delivered effectively and efficiently.
Key Responsibilities
- Vision & Strategy Define and manage the product vision, strategy, and roadmap for the Data Platform, ensuring alignment with business goals and evolving data needs.Champion a product-centric, value-driven approach, fostering a culture of continuous improvement.
- Backlog & Work Management Own and prioritise the product backlog, ensuring efficient delivery of features, improvements, and technical enhancements.Manage and balance all types of work: business projects, internal projects, change requests, and unplanned work (e.g., incidents, technical debt, urgent fixes).Employ robust planning methods to ensure colleague deployment is agreed, monitored, and evaluated for maximum effectiveness.
- Stakeholder Engagement & Communication Lead stakeholder engagement, maintaining strong relationships across all levels of the Society to drive engagement and alignment in an agile change environment.Gather and translate business requirements into clear, actionable technical requirements, enabling development teams to create impactful features.
- Value Stream & Systems Thinking Visualise and optimise the end-to-end value stream for the Data Platform, identifying and addressing bottlenecks to maximise flow and reduce lead times.Apply systems thinking to ensure changes are made with awareness of their wider impact across teams and processes.
- Metrics, Measurement & Reporting Define, track, and report on key success metrics, including:DORA metrics : Deployment frequency, lead time for changes, change failure rate, time to restore service.Data product metrics : Data quality (accuracy, completeness, timeliness), adoption and usage, user satisfaction (NPS/CSAT), business value delivered, and operational health.Governance & compliance metrics : Data lineage completeness, access control effectiveness, compliance rates.Use these metrics to drive continuous improvement, inform prioritisation, and demonstrate value delivered.
- Data Governance & Compliance Ensure the Data Platform adheres to data governance, privacy, and security standards, coordinating with compliance teams as needed.
- DevOps & Automation Collaboration Work closely with DevOps and engineering teams to enhance automation, deployment, and reliability of the Data Platform, supporting CI/CD practices and rapid, safe delivery.
- Continuous Improvement & Feedback Evaluate and report value post-delivery, supporting ongoing improvement of the Data Platform.Gather and act on user feedback to ensure delivered features meet real business and customer needs.
- Leadership & Collaboration Provide support and guidance as a senior member of the Engineering department, acting as a point of reference/expertise for peers, team members, and other functions.Foster a collaborative, trusting environment, encouraging diversity of thought and creative solutions that benefit customers and colleagues.
What Do We Need From You
We’re looking for someone who is not only technically proficient but also a strategic thinker with strong leadership and communication skills. Ideally, you’ll bring:
- Proven experience as a Product Owner or similar role within a data-driven environment.
- Strong knowledge of data architecture, platforms, and governance.
- Experience working in Agile methodologies, managing product backlogs, and coordinating sprints.
- Excellent stakeholder management, with the ability to translate complex data needs into clear objectives.
- An analytical mindset, focused on delivering business value through data solutions.
- A deep understanding of the internal and external data landscape, influencing the strategic roadmap to meet future needs.
- A focus on service delivery, ensuring continuous improvement and innovation within the Data Platform.
- Strong people and communication capabilities, fostering collaboration and engagement across teams.
Key Technology (awareness of)
- Experience with source control systems, such as Git
- dbt (Data Build Tool) for transforming and modelling data
- SQL (Spark SQL) & Python (PySpark)
Certifications (Ideal)
- SAFe POPM or Scrum PSPO
What’s in it for you
Skipton values work/life balance and we are proud to support hybrid and flexible working, where possible. We have a newly refurbished head office which offers a vibrant and collaborative working space.
We have a range of other benefits available to you including:
- Annual discretionary bonus scheme
- 25 days standard annual leave + bank holidays + rising 1 day per year of service to a maximum of 30 days.
- Holiday trading scheme allowing the ability to buy and sell additional annual leave days.
- Matching employer pension contribution (up to 10% per annum)
- Colleague mortgage (conditions apply)
- Salary sacrifice scheme for hybrid & electric car
- A commitment to training and development
- Private medical insurance for all our colleagues
- Diverse and inclusive colleague networks available for you to join.
- We care about your health and wellbeing – we provide a range of benefits that support this including cycle to work initiative and discounted gym membership.
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Data Platform Engineer
Posted 1 day ago
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Job Description
Data Platform Engineer
London - Hybrid
80,000-90,000 + 38 Days Holiday + Private Healthcare + Life Assurance + Flexible Working + Pension + Package
Excellent opportunity for a Data-focused Site Reliability Engineer or a Data Platform Engineer with some DevOps principals to join a forward-thinking and high-growth Fintech company offering a hybrid work environment, a great benefits package, and opportunities for further progression!
This company are a bleeding-edge technology business driving innovation across the global financial services sector. Their platform processes vast amounts of real-time and batch data, supporting business critical reporting and analytics. With a strong culture rooted in integrity, creativity, and technical excellence, they've become a trusted partner across a wide range of businesses.
In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, Apache Flink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure.
The ideal candidate will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, Apache Flink, Kafka, and Python.
This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management, architecture, and performance.
The Role:
*Maintaining and monitoring real-time and batch data pipelines using Flink, Kafka, Python, and AWS
*Act as an escalation point for critical data incidents and lead root cause analysis
*Optimising system performance, define SLIs/SLOs, and drive reliability
*Woking closely with various other departments and teams to architect scalable, fault-tolerant data solutions
The Person:
*Experience in a data-focused SRE, Data Platform, or DevOps role
*Strong knowledge of Apache Flink, Kafka, and Python in production environments
*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)
*Comfortable with monitoring tools, distributed systems debugging, and incident response
Reference Number: BBBH(phone number removed)
To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment.
Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.
The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Data Platform Engineer
Posted 1 day ago
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Job Description
Data Platform Engineer
Snowflake / DataOps / CI/CD
500 - 600/day Inide IR35 | 6 Months
Fully Remote
We're working with a well-known insurance company currently undergoing a company-wide transformation programme. They're looking for a Data Platform Engineer to help improve their cloud-based data platform and build out their DataOps capabilities.
The organisation has invested in several PaaS tools but currently has limited capability, giving you the opportunity to build things from the ground up, implement best practices, and share your knowledge. A key part of your role will be setting up monitoring and alerting across the platform.
Experience Required:
- Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran
- Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting
- Access management using Azure Active Directory (Entra ID)
- Proven experience setting up monitoring and alerts
- Proactive approach with strong communication skills
Desirable (Not Essential):
- Experience with Elastic
Please apply directly and we'll be in touch!
Data Platform Engineer
Posted 4 days ago
Job Viewed
Job Description
Data Platform Engineer
London - Hybrid
80,000-90,000 + 38 Days Holiday + Private Healthcare + Life Assurance + Flexible Working + Pension + Package
Excellent opportunity for a Data-focused Site Reliability Engineer or a Data Platform Engineer with some DevOps principals to join a forward-thinking and high-growth Fintech company offering a hybrid work environment, a great benefits package, and opportunities for further progression!
This company are a bleeding-edge technology business driving innovation across the global financial services sector. Their platform processes vast amounts of real-time and batch data, supporting business critical reporting and analytics. With a strong culture rooted in integrity, creativity, and technical excellence, they've become a trusted partner across a wide range of businesses.
In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, Apache Flink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure.
The ideal candidate will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, Apache Flink, Kafka, and Python.
This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management, architecture, and performance.
The Role:
*Maintaining and monitoring real-time and batch data pipelines using Flink, Kafka, Python, and AWS
*Act as an escalation point for critical data incidents and lead root cause analysis
*Optimising system performance, define SLIs/SLOs, and drive reliability
*Woking closely with various other departments and teams to architect scalable, fault-tolerant data solutions
The Person:
*Experience in a data-focused SRE, Data Platform, or DevOps role
*Strong knowledge of Apache Flink, Kafka, and Python in production environments
*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)
*Comfortable with monitoring tools, distributed systems debugging, and incident response
Reference Number: BBBH(phone number removed)
To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment.
Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.
The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Data Platform Engineer
Posted 4 days ago
Job Viewed
Job Description
Data Platform Engineer
Snowflake / DataOps / CI/CD
500 - 600/day Inide IR35 | 6 Months
Fully Remote
We're working with a well-known insurance company currently undergoing a company-wide transformation programme. They're looking for a Data Platform Engineer to help improve their cloud-based data platform and build out their DataOps capabilities.
The organisation has invested in several PaaS tools but currently has limited capability, giving you the opportunity to build things from the ground up, implement best practices, and share your knowledge. A key part of your role will be setting up monitoring and alerting across the platform.
Experience Required:
- Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran
- Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting
- Access management using Azure Active Directory (Entra ID)
- Proven experience setting up monitoring and alerts
- Proactive approach with strong communication skills
Desirable (Not Essential):
- Experience with Elastic
Please apply directly and we'll be in touch!
Data Platform Engineer
Posted 5 days ago
Job Viewed
Job Description
Data Platform Engineer
Posted 8 days ago
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Job Description
At Peregrine, were always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector we are always in search of the best talent to place, now.
How Specialist Talent Works:
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Data Platform Engineer
Posted 4 days ago
Job Viewed
Job Description
Data Platform Engineer
Elland with flexible working
Competitive Salary & Benefits
Marshalls plc is the UK’s leading hard landscaping, building and roofing products supplier and has supplied some of the most prestigious landmarks in the UK since the 1890s. We’re the benchmark for excellence and have been recognised as a Superbrand since 2010. As well as exceptional customer service, technical innovation, and manufacturing expertise, we continue to be a leader in our field in corporate responsibility and sustainable business practice.
We are looking for an experienced Data Platform Engineer to join our Data & Insights team to support the design, development, and maintenance of robust, secure, and reliable data pipelines that serve key enterprise systems including ERP, CRM, and analytics platforms.
You will join our Digital Transformation Team and play a critical role in our transition toward a modern, unified analytics platform (Microsoft Fabric), ensuring high-quality data is available to power decision-making across the business.
What’s the Mission?
- The Data Platform Engineer, will work closely with the Data Architect and collaborate across IT, BI, and operational teams to support a resilient, scalable, and governed data platform.
- Build and maintain automated, secure data pipelines from sources such as Dynamics AX/D365 , CRM, and third-party platforms.
- Manage the capacity, scalability, and configuration of the data platform, including SQL Server, SQL MI, Synapse, Data Lake , and Microsoft Fabric , in collaboration with infrastructure and security teams.
- Support the migration to Microsoft Fabric , ensuring modern, efficient data architecture.
- Ensure data quality, consistency, and lineage tracking across ingestion and integration layers using governance tools like Purview .
- Document data flows, pipeline dependencies, and technical configurations to support transparency and maintainability.
- Monitor and administer both on-prem and cloud systems, implementing robust alerting and performance tracking with Azure Monitor and Log Analytics .
- Collaborate with BI teams to ensure clean, reliable data delivery to analytics models.
- Support platform lifecycle tasks (e.g., patching, upgrades, access control) and contribute to DevOps and knowledge sharing.
Mission Critical Skills
- Proven experience as a Data Engineer, Data Platform Engineer or similar technical role in enterprise environments, with advanced SQL development skills, Python/ PySpark, and demonstrated experience with modern ETL/ELT frameworks
- Hands-on expertise with cloud-native data platforms (preferably Microsoft Fabric, Synapse, Data Factory, and related services
- Experience integrating data from ERP/CRM systems (e.g., Dynamics 365), and operational data sources.
Familiarity with data governance tools like Purview, and understanding of data security and compliance (e.g., GDPR, ISO 27001). - Knowledge of DevOps, including CI/CD, Git, and Infrastructure as Code (e.g., ARM, Terraform, Bicep).
- Strong problem-solving, diagnostic, and collaboration skills, with the ability to work across cross-functional teams.
- Relevant degree or equivalent experience; Microsoft certifications (e.g., DP-700, DP-203, DP-900) are highly desirable.
Benefits
- 34 days per annum or the equivalent in hours (inclusive of bank holidays)
- Health care cash plan – support with Dental, Optical, Prescription costs and many more!
- Enhanced Maternity, Paternity, and Adoption pay and leave
- 5% employer matched pension scheme
- Cycle to work scheme
- Employee discount on Marshalls and Marley products
- Retailer discounts
- Marshalls Wellbeing Centre
- Share purchase scheme
- Life assurance
Equal Opportunities
Whoever you are and whatever your background, you’ll find a fair and supportive workplace. You’re unique and we want you to bring every part of who you are to work, every day. We’re committed to ensuring equal opportunities for everyone. To us, this is more than a legal, moral, or ethical necessity – it’s the right thing to do! We want our team to reflect the diverse nature of society and the communities we serve. Marshalls is a workplace where you’re valued for the contribution you make, and where you can grow and develop by being entirely yourself!
Closing Date: 12noon 21st August 2025
#LI-remote
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Data Platform Engineer
Posted 14 days ago
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Job Description
Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology.
At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper.
The Role
Lyst is looking for a Software Engineer to join their Data Platform team. The engineer will help build upon and improve our customer facing analytics ingestion pipelines that power our business intelligence and decision making.
You will work in a fast-paced environment with a high level of autonomy. While your work will be peer reviewed and subject to approvals, it is important that you are able to liaise with both team members and wider partners in the organisation to gather requirements and lead on appropriate solutions.
You will be maintaining and improving a system that handles a high volume of traffic so experience with cloud and data warehouse infrastructure will help you in this role (we use AWS, Cloudflare and snowflake). Familiarity with infrastructure as code will also help when updating our cloud architecture (we use terraform).
We place a large focus on data quality so you'll be expected to review the small picture (data contracts via versioned schemas) and the wider picture (data integrity and data completeness across tables and databases). We also value the ability for team members to think of ways we can improve data quality and drive those initiatives across the business.
Within the first three months, you will be able to:
- Contribute to every part of our system, ranging from code and tests to infrastructure changes.
- Ensure the stability of our system by implementing and improving monitoring and observability tools.
- Write resilient code that is well tested.
- Be curious — not just the code, but the architecture of our platforms and everything that enables the business to thrive.
- Gain expertise over our tools and services: Python, Docker, Github Actions, Snowflake, AWS
- Participate in all team ceremonies and have direct input in the team's ways of working.
This is a high-trust, supportive, and collaborative environment where you will have plenty of opportunities to make an impact on your team and the wider company. We value attitude as much as we do direct experience—we want to hire people to grow into the role and beyond.
About the team:
- Python is our bread and butter.
- The wider data platform team uses dbt, Snowflake, and Looker to model, transform, and expose data for analytics and reporting across the business.
- We use Docker and Kubernetes to manage our production services.
- We use Github Actions for continuous integration and deployment. Lyst deploys new changes to production more than 500 times a month.
- The Data Platform team is one of Lyst's fundamental teams, and the data we manage is critical for the business. We have a strong relationship across the rest of the organisation, and almost all of Lyst engineering engages with us on a regular basis.
- We care about robustness and integrity in our pipelines and use observability tools to monitor.
Requirements
- Experience in developing robust and secure software solutions and data pipelines.
- Effective communication skills, comfortable working with technical and non-technical individuals and teams.
- Proficiency in developing with Python.
- Experience with delivering software solutions and data pipelines within public cloud technologies and architecture (perferably AWS exp).
- Experience with containers (Docker) and container orchastration.
- Experience with Infrastructure as Code (we use Terraform).
- Experience utilising monitoring, observability and logging tools.
- Experience with git, gitOps, github actions.
- Exposure or experience with cloud data warehouse/data platforms (we use Snowflake).
Things that matter to us:
- You have a passion for utilising your software engineering skills in data engineering.
- You enjoy building sustainable, robust software that scales and automate and drive efficiencies at every chance.
- You are excited to learn and equally share your knowledge with peers.
- You enjoy problem solving as an individual but also solving problems within a team or with wider colaboration across teams.
- You take pride in code ownership and maintaining responsibilities to a high level with good documentation and test coverage.
- You understand the importance of good Data management practices and broader Data Governance principles and their impact on things like Data Quality.
- You effectively support and maintain production data pipelines, ensuring monitoring and observability is in place and respond to sustain service levels and data consistency within Data platforms.
Benefits
- Our Ways of Working: We all come into the office on Tuesdays and Thursdays , with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home.
- Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst’s holiday year runs from 1 April to 31 March.
- Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss.
- Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £,000 with your length of service.
- Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start.
- Training Allowance: We’re big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1 00. This can be used to attend conferences, industry events, training courses and to purchase resources.
- Pension Scheme: Our pension provider is The People’s Pension. We offer a minimum employee contribution of 5% and 3% employer contribution.
- Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You’ll receive a free eye test every year and a discount towards glasses.
- Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them.
- Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work.
- Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Data Platform Engineer
Posted 26 days ago
Job Viewed
Job Description
About Us
YouLend is the preferred global embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend's AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US. We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.
The Role:
We’re looking for a Data Platform Engineer to join our growing Data Engineering & Platform team . This role sits at the intersection of infrastructure, DevOps, and modern data tooling — with a focus on enabling fast, secure, and scalable analytics. To help us build and scale a best-in-class data platform to support everything from dashboards and experimentation to ML and compliance
Requirements
- Build and manage infrastructure for our data platform (AWS, Snowflake, dbt, Airflow)
- Design and implement CI/CD pipelines for dbt and other data workflows
- Automate data platform operations with Python and infrastructure-as-code tools (Pulumi/Terraform)
- Collaborate with analytics, ML, product, and engineering teams to scale data solutions
- Ensure data quality, lineage, and governance through testing and monitoring
- Work with cost observability tools to ensure efficient platform usage
Essential:
- Proven experience working with cloud-based data platforms (Snowflake, Redshift, BigQuery, etc.)
- Proficiency in Python and SQL for automation and analytics
- Experience with CI/CD, preferably in dbt and/or data platforms
- Hands-on with IaC tools like Pulumi, Terraform, or CloudFormation
- Good understanding of orchestration tools like Airflow
- Strong communicator, with experience working cross-functionally
Desirable Skills:
- Cloud: AWS (S3, Lambda, MWAA), Azure DevOps
- Platform: Snowflake, dbt Cloud, Fivetran
- Orchestration: Airflow (MWAA), dbt jobs
- Languages: Python, SQL
- IaC: Pulumi, Terraform
- Monitoring: DataDog
Salary: £60,000 - 90,000 + 10% annual bonus
Benefits
Why work at YouLend?
- Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work 2024” by the Sunday Times for being a supportive, diverse, and rewarding workplace.
- Award-Winning Fintech: YouLend has been recognised as a “Top 250 Fintech Worldwide” company by CNBC.
We offer comprehensive benefits package that includes:
- Stock Options
- Private Medical insurance via Vitality
- EAP with Health Assured
- Enhanced Maternity and Paternity Leave
- Modern and sophisticated office space in Central London
- Free Gym in office building in Holborn
- Subsidised Lunch via Feedr
- Deliveroo Allowance if working late in office
- Monthly in office Masseuse
- Team and Company Socials
- Football Power League / Squash Club
At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
Lead Data Platform Engineer (Python & AWS)
Posted 546 days ago
Job Viewed
Job Description
Lyst is a global Fashion Tech company and premium shopping app, founded in London in 2010 and catering to over 200M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion items & products in one place, via an assortment of 8.5M+ items from over 17,000 of the world’s leading brands. We are a scale-up business with a current team size of c. 160 people in London, combining an agile mentality with a proven business model and over a decade of experience. This provides a balance between foundations and structure, and autonomy and pace.
At Lyst we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn’t, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better decisions and help fashion partners find better audiences as the category-leading destination for every fashion shopper. Lyst has raised over $160m from leading investors including Accel, Balderton, Molten Ventures, Fidelity International, and LVMH.
We’re looking for a Lead Data Platform Engineer to join our central Analytics Engineering team, and help drive the Data Engineering discipline within the Data Platform chapter. This is a great opportunity for someone who wants to have impact from day one and make their mark as an expert in a high performing, collaborative team.
We record nearly 100 million lines of data daily, and we are looking for a senior engineer to support and maintain a data platform that is scalable, reliable and enables data-led decision making business-wide.
As a data engineer within the central data platform function, you will maintain the data ingestion infrastructure in AWS for data owners across Lyst to leverage and to ensure the data created is of high quality. You will identify, design and implement improvements to these processes, including data contracts and testing. This role will work closely with our engineers, analytics engineers and analysts to help us successfully deliver our data platform and data strategy.
Key responsibilities:
- Maintain our data ingestion infrastructure, and liaise with Engineering data owners on the infrastructure and standards
- Identify, design and implement process improvements for data ingestion and testing
- Create documentation and guidelines on building reliable, scalable data pipelines
- Own our data contract capabilities, and develop guidelines for data owners
- Advocate data quality across the organisation
- Support data owners on data ingestion, for new and existing data pipelines
- Work closely with Analytics Engineering to bridge the gap between data creation and transformation
- Support in delivering our data strategy
- We work mainly in Python and SQL, running on a range of AWS technologies such as S3, EKS, SQS, Firehose, Kinesis & Lambda and non-AWS tools such as Snowflake, dbt, Looker, CircleCI, Docker, Terraform & GitHub.
Requirements
- Experience with Python, AWS data tooling, and software fundamentals (SQL, Git)
- Experience with data processing & testing in the cloud, with a large amount of data
- Excellent Python knowledge and experience and up to date on best Python practices, as well as experience writing efficient SQL
- Experience working on full data engineering projects, from design to implementation
- Experience iterating & refactoring existing code as well as writing new code
- Communication: You are able to communicate clearly and be humble when sharing ideas and solutions. You can communicate with both technical and non-technical stakeholders
- You strive to write clear, well documented, tested code, and look to improve existing code and ways of working. When you find an opportunity, you’re are excited to go for it
- (Bonus) Experience with data contract implementation
Things that matter to us:
- You are curious at heart and like to take ownership of something to make it better
- You are detail oriented
- You are a team player and communicate with your peers and other stakeholders in the company on a day to day basis
- Being confronted with a difficult or strange problem makes you feel like a detective that wants to crack the mystery
- You have a sense of ownership over products, features and services the team looks after
Benefits
- Our Ways of Working: We come into the office between 2-4 days a week and we're always in on Tuesdays and Thursdays . We strongly believe that in-person collaboration and time spent together as a team allows us to deliver high impact work, but the flexibility to also work remotely supports our diverse team.
- Time Off : In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst’s holiday year runs from 1 April to 31 March.
- Competitive Family Leave Package : This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss.
- Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £,000 with your length of service
- Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start.
- Training Allowance : We’re big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1 00. This can be used to attend conferences, industry events, training courses and to purchase resources.
- Pension Scheme: Our pension provider is The People’s Pension. We offer a minimum employee contribution of 5% and 3% employer contribution.
- Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You’ll receive a free eye test every year and a discount towards glasses.
- Cycle-to-Work Scheme : Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them.
- Transport Season Ticket Loan : Employees can apply for an interest free season ticket loan to support your travel to work.
- Social Events : Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.