6 Data Engineer jobs in Allerton

Lead Data Engineer - Remote - UK

About the Role:

We're hiring on behalf of a fast-growing, tech-driven organisation looking for a Lead Data Engineer to take ownership of their data infrastructure. This is a fully remote role open to candidates based anywhere in the UK.

You'll lead the design and development of scalable data pipelines, mentor a small team of engineers, and work closely with cross-functional teams to deliver high-impact data solutions.

Key Responsibilities:

• Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow)
• Lead the migration and optimisation of data workflows into Snowflake.
• Collaborate with analysts, data scientists, and product teams to deliver clean, reliable data.
• Define and enforce best practices in data engineering and governance.
• Mentor junior engineers and contribute to a culture of technical excellence

Requirements:

• Proven experience in a Lead or Senior Data Engineering role
• Strong hands-on expertise with AWS (Glue, Lambda, S3)
• Deep experience with Snowflake as a data warehouse.
• Proficiency in Python or Scala for data processing
• Excellent communication and stakeholder management skills
• Preferably some experience with Terraform and dbt (although these are not essential)

Benefits:

• Competitive salary
• Performance bonus scheme
• 100% remote working (UK only)
• 26 days holiday + Bank holidays + Birthday off
• Opportunity for growth and development
• Collaborative, forward-thinking team culture

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Contact me: (url removed)

AWS Data Engineer - Manchester - Hybrid

We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform how they serve millions of customers.

They're looking for Data Engineers who are passionate about building scalable data platforms and want to be part of a forward-thinking team. You'll work on modern data pipelines, cloud infrastructure, and real-time analytics projects that directly impact business outcomes.

As an AWS Data Engineer, you'll play a critical role in building and maintaining our cloud-based data infrastructure. You'll work closely with data scientists, analysts, and other engineers to design, develop, and deploy scalable data solutions on the AWS platform.

The client operates with a hybrid working model, with two days per week in their Manchester office.

Responsibilities:

-Design, build, and maintain data pipelines using AWS services such as S3, Glue, Lambda, and Redshift.

-Implement data governance and security best practices to ensure data quality and compliance.

-Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.

-Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.

-Stay up-to-date with the latest AWS technologies and trends.

Requirements:

-3+ years of experience as a data engineer.

-Strong proficiency in AWS data services such as S3, Glue, Lambda, and Redshift.

-Experience with data modelling, ETL processes, and data warehousing concepts.

-Proficiency in SQL and Python.

Benefits:

-Competitive salary, benefits package and discretionary bonus.

-Opportunity to work on cutting-edge technology.

-Career growth and development opportunities.

-Flexible Working: Hybrid or remote working options to help you maintain work-life balance.

-25 days annual leave + Bank holidays and Birthday off.

-And much more.

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Contact me: (url removed)

What we’re all about.

It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team.

If our incredible culture sounds like you, we’d love you to join us.

The opportunity.

Our Quantexa Delivery team is all about bringing context to data. Lead Data Engineers are drivers within our fast-paced delivery teams, implementing Quantexa’s innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. We are problem solvers, delivering sophisticated end-to-end big data solutions to our internal and external client stakeholders. As a central part of our team, you will experience opportunities beyond that of an engineer. You enjoy leading by example, guiding and mentoring data engineers to solve complex technical problems, sharing success with the team and taking pride in achieving milestones together. You share success with the team and take pride in the sum of its achievements. You will balance your time engaging with our business teams and clients to break down requirements into technical tasks, working hands-on as a programmer, and supporting the work of other engineers within a collaborative environment.  

The work you do here will be impactful. The challenges we tackle are big, but they're also incredibly rewarding. Your leadership in managing, transforming, and cleansing high volume data help our clients solve business problems across a wide range of areas including fraud, financial crime, data management, risk and customer intelligence.

What you’ll be doing.

• You will lead, support, and mentor a team of junior data engineers within an agile framework.
• Write defensive, fault tolerant and efficient code for production level data processing systems.
• You’ll configure and deploy Quantexa’s software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
• You will be a trusted source of knowledge to your clients. You will articulate technical concepts to a non-technical audience helping them to make big decisions.
• Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.

Requirements

What you’ll bring.

• You’ll have a background in hands-on technical development, with at least five years of industry experience in a data engineering role or engineering equivalent, and at least 2 years of experience acting in a lead role within a data or software engineering team.
• Proficiency in Scala, Java, Python, or a programming language associated with data engineering. Our primary language is Scala, but don’t worry if that’s not currently your strongest language, we believe that strong engineering principles are universal and transferrable.
• You’ll have expertise building and deploying production level data processing batch systems maintained by application support teams. Importantly you’ll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old Bash scripting). You’ll be familiar with developing within a version-controlled process that regularly makes use of these tools and technologies.
• A strong technical communication ability with demonstrable experience of working in rapidly changing client environments. 
• Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Knows the difference between different test types (unit test, integration test) and can cite specific examples of what they have written themselves.

Nice to haves.

• Experience growing and up-skilling team members as a career mentor, technical line manager, or acting in an equivalent guidance role.
• A passion for expanding the business – and leading initiatives to do so.

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

• Competitive salary
• Company bonus 
• 25 days annual leave (with the option of buying up to 5 days, and rolling over up to 10), plus national holidays + your birthday off!
• Pension scheme with a company contribution of 6% (when you contribute 3%)
• Private Healthcare with AXA, including dental & optic cover
• Life Insurance and Income Protection
• Regularly bench-marked salary rates 
• Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave 
• Well-being days 
• Volunteer Day off
• Work from Home Equipment
• Commuter, Tech and cycle to work schemes
• Octopus EV Salary Sacrifice scheme
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business 
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
• Employee Referral Program  
• Team Social Budget & Company-wide Socials 

Our mission.

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It’s all about you.

We want you to feel welcome, valued, and respected—because it’s your individuality and passion that make you Q . We see that, and we celebrate it. That’s why we’re proud to be an Equal Opportunity Employer.

We are committed to fostering an inclusive and diverse work environment, continuously improving to ensure everyone belongs. Our recruitment process is designed to be inclusive and accessible. If you need any reasonable adjustments or accommodations, please let our Talent Acquisition Team know—we’re happy to assist.

No matter your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity, or abilities—whoever you are—if you're a passionate, curious, and caring human eager to push the boundaries of what’s possible, we want to hear from you. 

start. don’t stop – Apply

What we’re all about.

It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team.    

If our incredible culture sounds like you, we’d love you to join us.

The opportunity.

Our Quantexa Delivery team is all about contextualizing data. As a senior data engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa’s innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there’s always a new challenge around the corner.  

You’ll need to be a problem solver. The challenges we tackle are big, but they're also incredibly rewarding. Your contributions in managing, transforming, and cleansing high volume data help our clients solve business problems in areas including fraud, financial crime, data management, risk and customer intelligence.

What you’ll be doing.

• Writing defensive, fault tolerant and efficient code for production level data processing systems.
• Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
• You’ll be a trusted source of knowledge for your clients. And you’ll articulate technical concepts to a non-technical audience so they can make key decisions.
• Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.

Requirements

What you’ll bring.

• You’ll have a background in hands-on technical development, with at least four yearsof industry experience in a data engineering role or equivalent, and preferably at least four years of software industry experience.
• Proficiency in Scala, java, python, or a programming language associated with data engineering. Our primary language is Scala, but don’t worry if that’s not currently your strongest language. We believe that strong engineering principles are universal and transferable.
• As an expert in building and deploying production level data processing batch systems,    you’ll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this. 
• Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old Bash scripting). You’ll be familiar with developing within a version-controlled process that regularly makes use of these tools and technologies.
• A strong technical communication ability with demonstrable experience of working in rapidly changing client environments. 
• Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Importantly, you’ll know the difference between varying test types (unit test, integration test) and can cite specific examples of what they have written themselves.

Nice to haves.

• Some experience supporting or mentoring a graduate or junior engineer within a team to help them grow.     
• The desire to grow with our business and your role – over time, you might get the opportunity to lead on projects.       

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

Our mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It's all about you

Quantexa is proud to be an Equal Opportunity Employer. We’re dedicated to creating an inclusive and diverse work environment, where everyone feels welcome, valued, and respected. We want to hear from people who are passionate about their work and align with our values. Qualified applications will receive consideration for employment without regard to their race, colour, ancestry, religion, national origin, sex, sexual orientation, gender identity, age, citizenship, marital, disability, or veteran status. Whoever you are, if you’re a curious, caring, and authentic human being who wants to help push the boundaries of what’s possible, we want to hear from you.

Internal pay equity across departments is crucial to our global compensation philosophy. Grade level and salary ranges are determined through interviews and a review of experience, education, training, knowledge, skills, and abilities of the applicant, equity with other team members, and alignment with market data.

Quantexa is committed to providing reasonable accommodations in our talent acquisition processes. If you require support, please inform our Talent Acquisition Team.

start. don’t stop – Apply.

A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events - for this reason, this role is open to applicants across the UK.

This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc.

You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration.

This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices.

This role would be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development!

Requirements:

• Strong Python and SQL scripting skills
• Experience delivering Data Science projects
• Experience with Gen-AI - and able to disucss this in depth
• Experience with Microsoft data technologies would be beneficial
• Experience with Cloud platforms - ideally Azure
• Strong communication, stakeholder management and problem-solving skills

Benefits:

• Salary of up to 60,000 depending upon experience
• Bonus up to 10%
• Pension - 5% matched
• 25 days holiday
• Home working allowance
• Enhanced parental pay and leave
• And much more!

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)