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For Companies At a Glance
- 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, life assurance, pension contributions, and extensive discounts.
- Why this job: Shape a brand-new data platform and make a real impact on business decisions.
- Qualifications: 3-5 years as a Data Engineer with strong Databricks and Python skills.
- Other info: Be part of an inclusive team that values diversity and personal growth.
The predicted salary is between 47000 - 52000 £ per year.
We’re building a brand‑new Databricks‑based data platform, and we’re 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’ll play a major part in how data flows across our UK business.
If you’re 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’ll 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.
- 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’ll 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.
Additional Information
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, and our People Promise:
- Opportunity – We see potential in every person and situation.
- People – We open our eyes to all that’s good.
- Purpose – We make your world a safer place.
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 or cycling equipment.
- 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.
- Toothfairy – Online access to advice and guidance from real UK Dentists.
- Pension Plan – Plan for your financial future with employer contribution plus tax relief.
- Payroll ISA – An ISA savings account to meet your longer term personal financial goals.
- Free Mortgage Advice.
- Death in Service Benefit - Permanent employees are automatically covered for Life Assurance.
Take the Next Step
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 UK
Contact Detail:
Securitas UK 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 to hiring managers.
✨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 that showcase your skills in building data pipelines and handling large datasets.
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 your background aligns with our needs. Don’t forget to mention your love for clean, scalable code!
Showcase Your Technical Skills: In your application, be specific about your technical skills. Mention your proficiency in Python and SQL, and any experience you have with ETL/ELT workflows. We want to see how you can contribute to our data community!
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 UK
✨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. This is a greenfield opportunity, so showing your understanding of modern data architectures will really impress.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've solved real business problems using data engineering. Think about specific challenges you've faced and how you approached them. This role is all about writing clean, scalable code, so be ready to demonstrate your thought process and the impact of your solutions.
✨Understand the Business Needs
Familiarise yourself with the company’s goals and how the data engineering team supports them. Be prepared to discuss how you would partner with business teams to understand their data needs and prioritise solutions. This shows that you’re not just a techie but also someone who can align with business objectives.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the data community within the company, the tools they use, or how they approach data governance. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
