101 Database Platforms jobs in the United Kingdom

Simple Machines UK – Job Ad – Senior Data Platforms Engineer
Position: Senior Data Engineer
Location: London, United Kingsom
Simple Machines. Data Engineered to Life™

Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes.

We engineer data to life™.

Requirements

The Role:

The Senior Data Platforms Engineer at Simple Machines is a dynamic, hands-on role focused on building real-time data pipelines and implementing data mesh architectures to enhance client data interactions. This position blends deep technical expertise in modern data engineering methods with a client-facing consulting approach, enabling clients to effectively manage and utilise their data. Within a team of top-tier engineers, the role involves developing greenfield data solutions that deliver tangible business outcomes across various environments.

Technical Responsibilities

• Developing Data Solutions : Implement and enhance data-driven solutions integrating with clients' systems using state-of-the-art tools such as Databricks, Snowflake, Google Cloud, and AWS. Embrace modern data architecture philosophies including data products, data contracts, and data mesh to ensure a decentralized and consumer-oriented approach to data management.
• Data Pipeline Development : Develop and optimise high-performance, batch and real-time data pipelines employing advanced streaming technologies like Kafka, and Flink. Utilise workflow orchestration tools such as Dataflow and Airflow.
• Database and Storage Optimization : Optimize and manage a broad array of database technologies, from traditional relational databases (e.g., PostgreSQL, MySQL) to modern NoSQL solutions (e.g., MongoDB, Cassandra). Focus on strategies that enhance data accessibility, integrity, and performance.
• Big Data Processing & Analytics : Utilise big data frameworks such as Apache Spark and Apache Flink to address challenges associated with large-scale data processing and analysis. These technologies are crucial for managing vast datasets and performing complex data transformations and aggregations.
• Cloud Data Management : Implement and oversee cloud-specific data services including AWS Redshift, S3, Google BigQuery, and Google Cloud Storage. Leverage cloud architectures to improve data sharing and interoperability across different business units.
• Security and Compliance : Ensure all data practices comply with security policies and regulations, embedding security by design in the data infrastructure. Incorporate tools and methodologies recommended for data security and compliance, ensuring robust protection and governance of data assets.

Consulting Responsibilities

• Client Advisory : Provide expert advice to clients on optimal data practices that align with their business requirements and project goals.
• Training and Empowerment : Educate client teams on the latest technologies and data management strategies, enabling them to efficiently utilise and maintain the solutions we have developed.
• Professional Development : Keep up with the latest industry trends and technological advancements, continually upgrading skills and achieving certifications in the technologies Simple Machines implements across its client base.

Ideal Skills and Experience

• Core Data Engineering Tools & Technologies : Demonstrates proficiency in SQL and Spark, and familiarity with platforms such as Databricks and Snowflake. Well-versed in various storage technologies including AWS S3, Google Cloud BigQuery, Cassandra, MongoDB, Neo4J, and HDFS. Adept in pipeline orchestration tools like AWS Glue, Apache Airflow, and dbt, as well as streaming technologies like Kafka, AWS Kinesis, Google Cloud Pub/Sub, and Azure Event Hubs.
• Data Storage Expertise : Knowledgeable in data warehousing technologies like BigQuery, Snowflake, and Databricks, proficient in managing various data storage formats including Parquet, Delta, ORC, Avro, and JSON to optimise data storage and retrieval.
• Building and Managing Large-scale Data Systems : Experienced in developing and overseeing large-scale data pipelines and data-intensive applications within production environments.
• Data Modelling Expertise : Proficient in data modelling, understanding the implications and trade-offs of various methodologies and approaches.
• Infrastructure Configuration for Data Systems : Competent in setting up data system infrastructures, favouring infrastructure-as-code practices using tools such as Terraform and Pulumi.
• Programming Languages : Proficient in Python and SQL, with additional experience in programming languages like Java, Scala, GoLang, and Rust considered advantageous.
• CI/CD Implementation : Knowledgeable about continuous integration and continuous deployment practices using tools like GitHub Actions and ArgoCD, enhancing software development and quality assurance.
• Testing Tools and Frameworks : Experienced with data quality and testing frameworks such as DBT, Great Expectations, and Soda, ensuring the reliability of complex data systems.
• Commercial Application of Data Engineering Expertise : Demonstrated experience in applying data engineering skills across various industries and organisations in a commercial context.
• Agile Delivery and Project Management : Skilled in agile, scrum, and kanban project delivery methods, ensuring efficient and effective solution development.
• Consulting and Advisory Skills : Experienced in a consultancy or professional services setting, offering expert advice and crafting customised solutions that address client needs. Effective in engaging stakeholders and translating business requirements into practical data engineering strategies.

Professional Experience and Qualifications

• Professional Experience: At least 5+ years of data engineering or equivalent experience in a commercial, enterprise, or start-up environment. Consulting experience within a technology consultancy or professional services firm is highly beneficial.
• Educational Background: Degree or equivalent experience in computer science or a related field.

**About the Role:**
**Grade Level (for internal use):**
11
**S&P Dow Jones Indices**
**The** **Role:** Product Transformation Manager, Data Platforms
**The Team:** Global Index Management & Production Group (IMPG)
**The Impact:**
Data is at the heart of our indices and products. Through S&P Global's Enterprise Working Groups, S&P Dow Jones Indices is looking to utilise more complex and innovative data than before. For this data to be used effectively, our Data Platforms play a critical role in delivering complete and correct data to required operations when needed. As our business evolves, our Data Platforms must go through that same journey and continuously improve to meet our needs.
As a **Product Transformation Manager for Data Platforms** , you will ensure our Data Platforms meet the evolving requirements of our business. Working in partnership with our users and Technology teams, you will be responsible for setting the direction of Platform evolution in line with our enterprise targets and SPDJI's Data Strategy. You will sit in Operations but are expected to bring technical skills that augment the team's ability to deliver solutions.
This role is critical in bridging operational need with technical solutions, taking inputs from both sides to drive innovation. You should be an experienced and technically-capable specialist looking to set the agenda for some of the most important data platforms in the world. You should be comfortable with common data analysis techniques and programming languages, augmenting the transformation role with these skills.
**What is in it for you?**
+ Direct the transformation of data platforms that underpin global financial markets
+ Engage with a diverse range of users and data, from equity datasets to fixed income, crypto, ESG, and more through S&P Global Enterprise Working Groups
+ Gain visibility into the high bar of technical demands for index calculation and rebalancing, where accuracy is paramount
+ Gain experience with industry-leading data platforms as part of modernisation initiatives across the organisation
**Responsibilities:**
+ **Product Management:** Direct major transformation initiatives on our Data Platforms from conceptualisation to production release
+ **Data Analysis and Research:** Conduct comprehensive analysis on our data on a project and ad hoc basis, producing findings which inform solution and process design
+ **Project Planning:** Translate the Data Strategy into implementable features, planning realistically for team capacity, priorities, and release targets
+ **Cross-Team Coordination:** Partner with Index Management, Data, Technology, and Compliance to ensure data needs are met across functions. Take a leading role in ensuring clear communication and building positive relationships across teams
+ **Documentation:** Coordinate with agile team members (such as the Product Owner, Scrum Master, and Business Analysts) to ensure requirements accurately reflect progression towards strategic goals
**What we are looking for:**
+ 5 - 7 years of experience in data management, product ownership, programme management, or related roles in a data-centric environment is mandatory
+ Experience in Financial Services (either through industry experience or progression along certification such as CFA) is mandatory; experience with indices is beneficial
+ Proficiency in Python for automation and data analytics is mandatory; familiarity with Python-related programming languages (e.g. Pyspark, Polars) is beneficial
+ Proficiency in SQL for data extraction, transformation, and manipulation is beneficial
+ Experience with data lakehouse paradigms (e.g. Databricks, Snowflake, implementations from major cloud providers) is beneficial
+ Exposure to structured and unstructured data storage solutions in some capacity (e.g. SQL, Postgres, MongoDB, AWS S3) is beneficial
+ Experience working in an agile setting is beneficial
+ Strong attention to detail and clarity of requirements for technical development
+ Ability to document and communicate clearly across technical and business audiences
+ Prior experience working in global teams with colleagues from a wide range of backgrounds
**Return to Work:**
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
**About S&P Global** **Dow Jones Indic** **e** **s**
At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies.
S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), ANLYTC202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** London, United Kingdom

Ready to help redefine performance marketing?

A high-growth digital media company is embarking on a bold transformation, moving from a dominant SEO affiliate model in iGaming to a data-first media marketplace that will serve global brands across retail, ecommerce, and consumer sectors. They are now seeking a sharp, commercially minded Associate Director / Consultant to help architect and execute this next chapter.

This is a rare opportunity to play a pivotal role in the launch of a real-time, data-driven media platform with full backing, deep resources, and an ambitious roadmap already in motion.

Our client is a well-established player in the iGaming affiliate space, with a reputation for connecting millions of users with trusted online gaming operators through high-performance SEO and content. But now, the mission is bigger. They’re evolving into a real-time media platform and marketplace, a model that will blend the best of affiliate, programmatic and first-party data to create new performance marketing opportunities for a wider universe of brands.

This role isn’t about incremental change. It’s about leading a transformation and building a revenue-generating platform from the ground up.

As Associate Director, the successful candidate will be instrumental in moving the company from traditional performance affiliate marketing into real-time media trading. The company is looking for someone who has a firm grasp of DSPs, DMPs, and trading desks, and who can confidently operate across commercial strategy, platform design, and data activation.

You’ll be responsible for:

• Leading the strategic transformation from an affiliate network to a media marketplace with a focus on transparency, data, and real-time capabilities
• Driving innovation in media trading models, including onboarding of advertisers and activation of new commercial structures (CPM, CPC, CPA, and hybrids)
• Forging new commercial partnerships with DSPs, ad networks, data platforms, and brand-side media buyers, bringing together the building blocks of a scalable programmatic offering
• Working with internal product teams to define and implement a marketplace dashboard with integrated analytics and audience segmentation
• Activating and monetising first-party data collected across the existing affiliate network to enable audience targeting, lookalikes, and dynamic creatives
• Acting as a thought partner to executive leadership, ensuring the company’s go-to-market strategy in non-iGaming sectors is credible, differentiated, and commercially viable

Be the bridge between vision and execution

This role is suited to someone who has 8 to 12 years’ experience in digital media, adtech, or martech, ideally with a background in strategic consultancy, programmatic trading, or marketplace design.

You’ll be expected to bring:

• A track record of launching new revenue models, trading desks, or audience platforms
• Fluency in the commercial and technical dimensions of media trading, including audience segmentation, bid strategies, and real-time reporting
• The ability to operate hands-on while communicating confidently with senior stakeholders
• Flexibility to operate across European time zones, with a hybrid work setup and travel as needed

This is not a passive consulting role. You’ll be in the weeds, building, testing, iterating, and scaling.

For someone who thrives at the intersection of media, data, and innovation, this is a career-defining opportunity.

If you're ready to drive a platform transformation at scale, apply now to learn more.

Data Engineer - Generative AI & Secure Data Platforms

Hybrid Working | UK-Based | SC Clearance
Up to 60k + Paid Overtime + Bonus + Benefits

Engineer the Future of Secure AI Innovation

Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience?

This is a hands-on opportunity to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data securely and intelligently.

What You'll Be Doing

• Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments
• Collaborate with internal teams to optimise and secure sensitive data-sets
• Ensure compliance with strict data governance and quality standards
• Contribute to the technology roadmap with insights into emerging tools and platforms
• Work across SQL, NoSQL, Python, ETL, and big data ecosystems
• Support projects involving Generative AI, NLP, and OCR

What You'll Bring

• Proven experience in on-prem to cloud data migrations
• Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills
• Expertise in Python, ETL, API integration, and data processing
• Familiarity with Hadoop, Docker, and containerisation technologies
• Knowledge of Generative AI, NLP, or OCR is a plus
• Understanding of data governance and compliance in secure environments
• Eligibility for SC clearance - British citizen

This isn't just a job-it's a chance to engineer secure data solutions that support innovation, resilience, and technological advancement.

Apply now and help shape the future-securely

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Data Engineer - Generative AI & Secure Data Platforms

Hybrid Working | UK-Based | SC Clearance
Up to 60k + Paid Overtime + Bonus + Benefits

Engineer the Future of Secure AI Innovation

Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience?

This is a hands-on opportunity to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data-securely and intelligently.

What You'll Be Doing

• Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments
• Collaborate with internal teams to optimise and secure sensitive datasets
• Ensure compliance with strict data governance and quality standards
• Contribute to the technology roadmap with insights into emerging tools and platforms
• Work across SQL, NoSQL, Python, ETL, and big data ecosystems
• Support projects involving Generative AI, NLP, and OCR

What You'll Bring

• Proven experience in on-prem to cloud data migrations
• Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills
• Expertise in Python, ETL, API integration, and data processing
• Familiarity with Hadoop, Docker, and containerisation technologies
• Knowledge of Generative AI, NLP, or OCR is a plus
• Understanding of data governance and compliance in secure environments
• Eligibility for SC clearance - British citizens only

Why This Role Stands Out

• Paid Overtime - every hour counts
• Bonus Scheme - your impact rewarded

This isn't just a job-it's a chance to engineer secure data solutions that support innovation, resilience, and technological advancement.

Apply now and help shape the future-securely.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Data Engineer - Generative AI & Secure Data Platforms

Hybrid Working | UK-Based | SC Clearance
Up to 60k + Paid Overtime + Bonus + Benefits

Engineer the Future of Secure AI Innovation

Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience?

This is a hands-on opportunity to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data-securely and intelligently.

What You'll Be Doing

• Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments
• Collaborate with internal teams to optimise and secure sensitive datasets
• Ensure compliance with strict data governance and quality standards
• Contribute to the technology roadmap with insights into emerging tools and platforms
• Work across SQL, NoSQL, Python, ETL, and big data ecosystems
• Support projects involving Generative AI, NLP, and OCR

What You'll Bring

• Proven experience in on-prem to cloud data migrations
• Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills
• Expertise in Python, ETL, API integration, and data processing
• Familiarity with Hadoop, Docker, and containerisation technologies
• Knowledge of Generative AI, NLP, or OCR is a plus
• Understanding of data governance and compliance in secure environments
• Eligibility for SC clearance - British citizens only

Why This Role Stands Out

• Paid Overtime - every hour counts
• Bonus Scheme - your impact rewarded

This isn't just a job-it's a chance to engineer secure data solutions that support innovation, resilience, and technological advancement.

Apply now and help shape the future-securely.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Data Engineer - Generative AI & Secure Data Platforms

Hybrid Working | UK-Based | SC Clearance
Up to 60k + Paid Overtime + Bonus + Benefits

Engineer the Future of Secure AI Innovation

Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience?

This is a hands-on opportunity to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data securely and intelligently.

What You'll Be Doing

• Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments
• Collaborate with internal teams to optimise and secure sensitive data-sets
• Ensure compliance with strict data governance and quality standards
• Contribute to the technology roadmap with insights into emerging tools and platforms
• Work across SQL, NoSQL, Python, ETL, and big data ecosystems
• Support projects involving Generative AI, NLP, and OCR

What You'll Bring

• Proven experience in on-prem to cloud data migrations
• Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills
• Expertise in Python, ETL, API integration, and data processing
• Familiarity with Hadoop, Docker, and containerisation technologies
• Knowledge of Generative AI, NLP, or OCR is a plus
• Understanding of data governance and compliance in secure environments
• Eligibility for SC clearance - British citizen

This isn't just a job-it's a chance to engineer secure data solutions that support innovation, resilience, and technological advancement.

Apply now and help shape the future-securely

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Data Engineer - Generative AI & Secure Data Platforms

• South West or South East England (Hybrid - 2-3 days onsite)
• Up to 55k + Paid Overtime + Bonus + Benefits
• British Citizens Only | SC Clearance Required

37 hours a week. That's the baseline. But when the mission demands more, you're paid for every extra hour-because your time matters.

Imagine joining a team where your data engineering skills help shape the future of secure AI innovation. This isn't just about building pipelines-it's about enabling intelligent systems that support national resilience and technological advancement.

You'll be part of a growing international team working on next-gen data platforms, with a focus on generative AI, NLP, and secure data exchange. Your work will directly support internal customers across a high-trust, high-impact organisation.

What You'll Be Doing

• Evaluate, design, and maintain resilient, secure data pipelines
• Collaborate with internal teams to optimise and safeguard datasets
• Ensure compliance with strict data governance and quality standards
• Support the technology roadmap with insights into emerging tools and platforms
• Work across SQL, NoSQL, Python, ETL, and big data environments
• Contribute to projects involving Generative AI, NLP, and OCR

You'll report into a collaborative data team that values precision, integrity, and innovation.

What You'll Bring

• Experience with SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J)
• Strong skills in Python, ETL, API integration, and data processing
• Familiarity with Hadoop, Docker, and containerisation technologies
• Knowledge of Generative AI, Natural Language Processing, or OCR is a plus
• Understanding of data governance and compliance in sensitive environments
• Eligibility for SC clearance - you must be a British citizen
• No dual nationals can be considered for this role

Why Join?

• Security with Purpose - Work on projects that directly support national defence and public safety
• Paid Overtime - Earn 1.25x for every hour over 37/week
• Bonus - Up to 2,500 annually based on company performance
• Flexi Leave - Up to 15 additional days
• Enhanced Parental Leave - Up to 26 weeks, plus support for fertility and neonatal care
• Modern Facilities - Subsidised meals, free parking, and collaborative workspaces

This isn't just a job-it's a chance to engineer secure data solutions that support national resilience and innovation.

Apply now and help shape the future-securely.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Our client is seeking an experienced Senior Data Engineer with expertise in cloud platforms to join their innovative technology team. While the role is hybrid, offering a blend of remote and office-based work, the primary focus is on building and optimizing robust data pipelines and infrastructure within cloud environments. You will be instrumental in designing, developing, and maintaining scalable data solutions that support advanced analytics, machine learning, and business intelligence initiatives. Responsibilities include architecting and implementing data lakes, data warehouses, and ETL/ELT processes. You will work with cloud services such as AWS, Azure, or GCP, leveraging their data services to build efficient and reliable data systems. The ideal candidate will possess deep technical expertise in data modeling, database technologies (SQL and NoSQL), and programming languages like Python or Scala. Proven experience with big data technologies (e.g., Spark, Hadoop) and containerization (e.g., Docker, Kubernetes) is essential. Strong understanding of data security, governance, and best practices is also required. Excellent problem-solving and analytical skills are critical for troubleshooting complex data challenges and optimizing data pipeline performance. You will collaborate closely with data scientists, analysts, and software engineers to deliver high-quality data products. Strong communication skills are necessary to articulate technical concepts and architectural decisions. This role requires a self-motivated individual who can manage their workload effectively, contributing significantly to project success. Experience in cloud data warehousing solutions like Snowflake or Redshift would be highly beneficial. This is an exciting opportunity to work with cutting-edge cloud technologies and contribute to data-driven decision-making in a dynamic environment, playing a key role in enhancing our client’s data capabilities and driving innovation through data.
Responsibilities:

• Design, build, and maintain scalable and robust data pipelines and infrastructure on cloud platforms (AWS, Azure, GCP).
• Develop and optimize ETL/ELT processes for data ingestion, transformation, and loading.
• Architect and implement data warehouses, data lakes, and data marts.
• Work with big data technologies such as Spark, Hadoop, and Kafka.
• Ensure data quality, integrity, and security across all data solutions.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Develop and maintain data models that support business intelligence and analytical needs.
• Implement and manage data governance policies and procedures.
• Troubleshoot and resolve issues related to data pipelines and infrastructure.
• Stay current with cloud data technologies and best practices.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in data engineering, with a strong focus on cloud platforms.
• Proficiency in at least one major cloud provider (AWS, Azure, GCP) and their data services.
• Expertise in SQL, Python, or Scala for data manipulation and scripting.
• Experience with big data technologies (e.g., Spark, Hadoop) and distributed systems.
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with data modeling, database design, and data governance.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Experience with CI/CD pipelines and DevOps practices is a plus.