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- Tasks: Design and develop ETL processes, integrate data sources, and support digital transformation.
- Company: Join a fast-paced digital team shaping data environments across various sectors.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and collaborate with diverse teams.
- Why this job: Make a real impact by driving digital change through data in a collaborative environment.
- Qualifications: Experience in ETL development, Azure tools, and data integration is essential.
The predicted salary is between 50000 - 65000 £ per year.
We're looking for an experienced Data Engineer to join a fast-paced digital team, helping to shape and maintain a high-performing data environment that supports critical business decision-making across multiple sectors including engineering, construction, and maintenance.
This is a hands-on role focused on designing and delivering scalable ETL processes, integrating multiple data sources into a central data warehouse, and transforming raw data into curated datasets for reporting via Power BI. You’ll also support the development of interfaces for master data between key business systems using the Microsoft technology stack.
What You’ll Be Doing:
- Designing and developing robust ETL pipelines using Azure Data Factory, SSIS, and related tools
- Integrating data from various systems into a centralised data warehouse
- Developing and supporting master data interfaces across enterprise applications
- Creating secure, scalable, and consistent data models for enterprise reporting
- Supporting digital transformation initiatives and helping to automate business processes
- Coaching and mentoring junior BI and data professionals
- Collaborating with software vendors and internal stakeholders to optimise data exchange and integrity
- Documenting architecture, process maps, and maintaining technical documentation
Key Skills & Experience:
- Strong experience in ETL development and data integration (ADF, SSIS, SQL Server)
- Proficiency in Azure data tools: Data Lake, Logic Apps, Data Bricks, Power Platform
- Experience with Power BI, SharePoint, Power Apps, and other low-code tools
- Strong understanding of data modelling, data quality, and GDPR compliance
- Agile/Scrum experience preferred
- Ability to solve complex problems with a pragmatic, business-focused mindset
- Experience in large-scale, fast-moving environments; industry background in engineering or construction a bonus
If you thrive in a collaborative, dynamic, and solution-driven environment and want to be part of a team driving digital change through data—this could be the ideal role for you.
Data Engineer employer: The Talent Locker Ltd.
Contact Detail:
The Talent Locker Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL projects, data models, and any Power BI dashboards you've built. This will give you an edge during interviews and help demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around Azure Data Factory, SSIS, and data integration. Be ready to discuss how you've tackled complex problems in past roles and how you can contribute to digital transformation initiatives.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive about their job search. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with ETL processes, Azure tools, and any relevant projects that showcase your skills in data integration and modelling.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of how you've tackled challenges in previous roles and how you can contribute to our fast-paced digital team.
Showcase Your Technical Skills: Don’t just list your skills—demonstrate them! Mention specific tools like Azure Data Factory, SSIS, and Power BI, and explain how you've used them to solve real-world problems in your past work.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The Talent Locker Ltd.
✨Know Your ETL Tools Inside Out
Make sure you brush up on your experience with Azure Data Factory, SSIS, and SQL Server. Be ready to discuss specific projects where you've designed and developed ETL pipelines, as this will show your hands-on expertise.
✨Showcase Your Data Integration Skills
Prepare examples of how you've integrated data from various systems into a centralised data warehouse. Highlight any challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities.
✨Familiarise Yourself with Power BI
Since reporting via Power BI is key in this role, be prepared to talk about your experience creating reports and dashboards. Bring along examples of your work if possible, as visuals can really make an impact.
✨Emphasise Collaboration and Mentoring
This role involves coaching junior professionals, so think about times when you've collaborated with others or mentored someone. Share your approach to teamwork and how you help others grow, as this aligns with the company’s values.