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- Tasks: Design and maintain ETL processes and data warehouses to support business intelligence.
- Company: Join a leading global supplier committed to sustainable solutions.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on data-driven decisions and operational efficiency.
- Qualifications: Degree in IT or Computer Science and 2+ years in data engineering.
- Other info: Be part of a diverse team driving high-impact improvements.
The predicted salary is between 36000 - 60000 £ per year.
Newly created opportunity for a Data Engineer responsible for the design, development, and maintenance of Group data extraction, transformation, and loading (ETL) processes and enterprise data warehouse. The role ensures the availability, integrity, and performance of core data assets that support business intelligence, reporting, and decision-making across the organisation. Remote working options + occasional group travel. This role has been created to support key growth and productivity initiatives across Procurement, SIOP, and Finance by strengthening internal data warehouse and reporting capability. It will be key to enabling data-driven decisions, improving operational efficiency, and supporting growth, working closely with analytics and business systems teams to build scalable, secure, and robust data infrastructure.
Data Engineer – On-going responsibilities:
- Design, build, and maintain ETL/data pipelines from multiple internal and external sources
- Develop and extend data models and schemas within the data warehouse
- Ensure data quality, accuracy, governance, and documentation
- Optimise data warehouse performance, scalability, and cost
- Troubleshoot data issues and implement automation where possible
- Collaborate with analysts, BI teams, and business stakeholders
The role will initially focus on projects driving cost savings and cash flow, including:
- Procurement savings initiatives (~€4m)
- Supporting inventory reduction through improved data visibility
- Enhancing cash control via better payment-term management and reporting
You will also provide technical support for a Celonis process mining project, helping establish data connections, define extraction points, and ensure reliable data for analysis.
Data Engineer – Essential experience:
- Degree level qualification in IT, Computer Science, or equivalent experience
- 2+ years’ experience in data engineering, ETL, or data warehousing
- Strong SQL skills and experience with relational databases
- Experience with cloud data platforms (e.g. AWS Redshift, Azure)
- Hands-on experience with ETL tools (e.g. dbt, CData) and scripting (Python, Shell)
- Solid understanding of data modelling, governance, and performance optimisation
- Strong analytical, communication, and documentation skills
Desirable:
- Experience with BI tools (e.g. Power BI, ThoughtSpot)
- Knowledge of data privacy regulations (e.g. GDPR)
- Additional language skills (Dutch, French, Spanish, Hindi)
This is a rare opportunity to play a pivotal role in the Data Team, driving high-impact improvements that directly support business growth. Full job description available on request. Our client is committed to creating a diverse and inclusive workplace. All applications will be considered. If you would like to learn more, please apply or contact Tim Hill at Technical Placements for an initial chat about the role.
Data Engineer – Data Extraction & Warehouse Management employer: Technical Placements
Contact Detail:
Technical Placements Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Data Extraction & Warehouse Management
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving ETL processes or data warehousing. Share it on platforms like GitHub to give potential employers a taste of your skills.
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL and data modelling concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key, so know your stuff!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that Data Engineer role. It’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer – Data Extraction & Warehouse Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL processes, data warehousing, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used SQL, cloud platforms, or ETL tools in your previous roles. This helps us understand your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story that connects your background to our mission.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Technical Placements
✨Know Your ETL Inside Out
Make sure you can discuss your experience with ETL processes in detail. Be ready to explain how you've designed, built, and maintained data pipelines in previous roles. Use specific examples that highlight your problem-solving skills and the impact of your work on data quality and performance.
✨Showcase Your SQL Skills
Since strong SQL skills are essential for this role, prepare to demonstrate your proficiency. Brush up on complex queries and be ready to solve a few SQL problems during the interview. This will show that you not only understand SQL but can also apply it effectively in real-world scenarios.
✨Familiarise Yourself with Cloud Platforms
Research the cloud data platforms mentioned in the job description, like AWS Redshift or Azure. Be prepared to discuss any hands-on experience you have with these tools, and think about how you can leverage them to optimise data warehouse performance and scalability.
✨Communicate Clearly and Collaboratively
This role involves working closely with various teams, so it's crucial to demonstrate your communication skills. Prepare to discuss how you've collaborated with analysts and business stakeholders in the past. Highlight your ability to document processes and ensure data governance, as this will show you're a team player who values clarity and collaboration.
