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- Tasks: Design and develop ETL pipelines, integrate data, 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 engineering and construction sectors. Attend industry meetups or webinars, and don’t be shy about mentioning your interest in data engineering roles. You never know who might have a lead for you!
✨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 potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Azure Data Factory, SSIS, and data integration. Practise explaining complex concepts in simple terms—this shows you can communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
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 reporting.
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, especially those related to data modelling and automation.
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 deliver results in past projects.
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 for this role, be prepared to talk about your experience creating datasets and reports. Bring along examples of dashboards or reports you've built to showcase your skills.
✨Emphasise Collaboration and Mentoring
This role involves coaching junior professionals, so think about times you've mentored others or collaborated with teams. Share how you fostered a collaborative environment and contributed to digital transformation initiatives.