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- Tasks: Build and scale modern data pipelines using Databricks and Power BI.
- Company: Join Securitas UK, a global leader in safety and security.
- Benefits: Enjoy competitive pay, generous holiday, and fantastic learning opportunities.
- Why this job: Shape a brand-new data platform and make a real impact.
- Qualifications: 3-5 years as a Data Engineer with strong Databricks and Python skills.
- Other info: Hybrid work model with a focus on diversity and inclusion.
The predicted salary is between 47000 - 52000 £ per year.
Location: Hybrid 2/3 days per week, Birmingham
Pay: £55,000 - £60,000 DOE
Benefits: Ranging from 3x Salary Life Assurance, 5% Employer Contribution Pension, 25 Days Holiday + 8 Bank Holidays.
Learning & Development: From day one, you will gain access to outstanding Learning and Development opportunities, Mentorship, and a whole load of benefits from big brand discounts to give back schemes!
Are you our new Senior Data Engineer? We are building a brand-new Databricks-based data platform, and we are looking for a hands-on Senior Data Engineer to help shape it from the ground up working within parameters and governance models set by our global team. This is a rare opportunity for a current Data Engineer looking for their next big step into a more senior, greenfield position to join at the perfect time: our foundations are being put in place, our pipelines ready to be started, and you will play a major part in how data flows across our UK business.
If you are someone who loves writing clean, scalable code, solving real business problems, and seeing your work used by hundreds of colleagues, without needing to manage people or own the full strategy - this role is for you.
What You Will Be Doing:
- Build, run, and scale modern data pipelines
- Develop production-grade pipelines in Databricks to ingest data from APIs, SaaS platforms, operational systems, files, and more.
- Help define our Lakehouse (bronze/silver/gold) approach and optimise pipelines for performance and cost.
- Contribute to our engineering standards: version control, testing, environments, CI/CD.
- Power BI-ready datasets that the business can trust
- Design and model clean, intuitive datasets for analytics and self-service reporting.
- Publish curated and well-documented datasets for Power BI, working closely with analysts and report developers.
- Build in high-quality data validation and monitoring so reports stay accurate and reliable.
- Apply our organisation-wide governance standards covering naming, access, ownership, and retention.
- Contribute clear, business-friendly documentation to our data catalogue.
- Work alongside security and compliance to ensure we meet UK and company standards, including GDPR.
- Prepare high-quality feature datasets for forecasting, segmentation, anomaly detection and more.
- Collaborate with colleagues to prototype simple models in Python and help deploy basic scoring workflows.
- Be a collaborative member of our growing data community.
- Work closely with colleagues in the UK and globally to share ideas and best practices.
- Partner with business teams to understand their data needs and prioritise solutions.
- Help upskill others by sharing knowledge and guiding them through datasets and pipelines.
Qualifications:
What You Will Bring:
Essential:
- 3-5 years' experience as a Data Engineer (or similar) working with production pipelines.
- Strong hands-on experience with Databricks or similar cloud data lake platforms.
- Fluent in Python and/or SQL, with experience handling large datasets.
- A solid understanding of ETL/ELT workflows and designing data models for analytics.
- Experience preparing and publishing datasets for Power BI (or another BI tool).
- Experience with data quality checks, monitoring, and troubleshooting.
Nice to Have:
- Experience with Azure Databricks, Azure Data Lake, Data Factory, Synapse, Key Vault.
- Familiarity with Delta Lake, Lakehouse architecture, or dbt.
- Exposure to data science concepts or notebooks-based workflows.
- Experience working in a growing or transforming data environment.
- Understanding of UK data privacy requirements, including GDPR.
Join our global team of 336,000+ colleagues and help make the world a safer place. At Securitas, we live by our values of Integrity, Vigilance and Helpfulness.
Your Benefits:
- STRIVE- Securitas Perks gives you access to a great range of discounts on a variety of retailers, services and everyday spending.
- Dental Plans - A range of plans providing support towards everyday dental costs.
- HSF Health Plan - Range of healthcare cash plans at highly discounted rates.
- Cycle to Work - A cost-effective way of getting a brand new bike, cycling equipment or both.
- Specsavers - Save money on eye tests and when purchasing spectacles.
- WeCare - A 24/7 online GP, mental health support service, get fit programme and more.
- Pension Plan - Build up a benefit in the Securitas Pension Plan, with employer contribution plus tax relief.
- Death in Service Benefit - Permanent employees are automatically covered for Life Assurance.
Join a team that values you. Click 'I'm Interested' and start your career with Securitas UK today.
Senior Data Engineer (Databricks & Power BI) in Birmingham employer: Securitas
Contact Detail:
Securitas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Databricks & Power BI) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend local meetups related to data engineering. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your expertise and approach to real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (Databricks & Power BI) in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Databricks, Power BI, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our new data platform. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical skills in Python, SQL, and ETL/ELT workflows. We’re keen to see how you’ve used these in real-world scenarios, so be specific about your achievements and the impact of your 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 Securitas
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Power BI skills before the interview. Be ready to discuss your experience with building data pipelines and how you've optimised them for performance and cost. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of real business problems you've solved using data engineering. Think about specific projects where your clean, scalable code made a difference. This will demonstrate your ability to contribute meaningfully to their new data platform.
✨Understand Their Governance Standards
Familiarise yourself with data governance principles, especially in relation to UK standards like GDPR. Be prepared to discuss how you’ve applied these in past roles, as they’ll be keen to know you can maintain compliance while working with data.
✨Be a Team Player
This role involves collaboration with various teams, so highlight your teamwork experiences. Share how you've partnered with analysts or business teams to understand their data needs and how you’ve helped upskill others. They’re looking for someone who can fit into their growing data community!
