At a Glance
- Tasks: Design and build scalable data solutions while ensuring data quality and compliance.
- Company: Join a leading firm at the forefront of data engineering in the energy sector.
- Benefits: Enjoy competitive salary, health benefits, and exciting perks like free lunches and on-site massages.
- Other info: Hybrid work model with excellent learning and development opportunities.
- Why this job: Shape the future of data governance and make impactful decisions that drive business success.
- Qualifications: 8+ years in data engineering with expertise in AWS or Azure ecosystems.
The predicted salary is between 72000 - 88000 £ per year.
Location: London; UK
Work type: Hybrid
Seniority: Senior
Primary skill: Data Software Engineering
Posted: 2026-10-26
What makes a number trustworthy enough to drive decisions that matter? The Senior Data Engineer role in London sits at the intersection of enterprise data platforms and the energy sector, where the stakes for accuracy and compliance are high. Data foundations are only as strong as the standards behind them, and every process must hold up under scrutiny. In this role, you shape how data is governed and interpreted across business functions. The person in this position decides what reliable data means for everyone downstream.
Responsibilities
- Design and build scalable data solutions and pipelines for enterprise data platforms
- Develop data models, manage ETL/ELT processes and ensure data quality and compliance
- Collaborate with stakeholders to embed data-driven thinking across business functions
- Implement efficient data ingestion and integration workflows across cloud environments
- Drive adoption of data foundation initiatives and best engineering practices
- Coordinate change, incident and problem management processes
- Mentor and guide junior data engineers on solution design and technical practices
- Present data insights, architecture reports and recommendations to key stakeholders
- Ensure implementation efficiency and consistent project delivery standards
- Contribute to internal communities, including Centers of Excellence (CoE) and Communities of Practice (CoP)
Requirements
- 8+ years of professional experience in data engineering or related roles
- Master-level expertise in AWS or Azure data ecosystems
- Strong proficiency in ELT, data modeling and data integration
- Skilled in data manipulation, processing and orchestration frameworks
- Hands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube and PyTest
- Proficiency with GitHub, GitHub Actions and Azure DevOps
- Strong communication and collaboration skills to align technical and business stakeholders
- Proven ability to lead solution delivery and enhance team performance
- Bachelor's degree in Computer Science, Data Engineering or a related discipline
- Experience in commodity trading and supply operations, ideally within the energy sector
Nice to have
- Experience managing agile or scrum teams
- Exposure to BPC or other enterprise planning tools
- Experience working within external technical ecosystems and vendor environments
- Familiarity with MKDocs documentation tools
We offer
- EPAM Employee Stock Purchase Plan (ESPP)
- Protection benefits including life assurance, income protection and critical illness cover
- Private medical insurance and dental care
- Employee Assistance Program
- Competitive group pension plan
- Cyclescheme, Techscheme and season ticket loans
- Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
- Learning and development opportunities including in-house training and coaching, professional certifications, and courses
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
*All benefits and perks are subject to certain eligibility requirements
Senior Data Analytics Engineer in London employer: EPAM Systems
Join a dynamic and innovative team in London where your expertise as a Delivery Director will be valued and nurtured. We pride ourselves on a collaborative work culture that fosters continuous improvement and professional growth, offering you the chance to work alongside award-winning teams in the Retail/Consumer Products industry. With a focus on client satisfaction and strategic project delivery, you'll find meaningful and rewarding employment in an environment that champions creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EPAM Systems!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analytics Engineer at EPAM Systems.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EPAM Systems.
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We think you need these skills to ace Senior Data Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EPAM Systems, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EPAM Systems. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EPAM Systems
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EPAM Systems!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
