Senior Data Engineer (Databricks & Power BI) at Securitas USA Corporate Services

Birmingham, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

60000.0

Posted On

04 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Databricks, Python, SQL, ETL, ELT, Data Modeling, Power BI, Data Quality, Monitoring, Troubleshooting, Azure, Data Lake, Data Science, GDPR

Industry

Security and Investigations

Description

Company Description We’re Hiring: Senior Data Engineer (Databricks & Power BI) 📍 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’ll gain access to outstanding Learning and Development opportunities, Mentorship, and a whole load of benefits from big brand discounts to give back schemes! See a Different World. Where potential is seen and progress is nurtured. Grade: G Are you our new Senior Data Engineer? 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 – With the ability to scope our model based in the UK within this greenfield opportunity. 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. Job Description 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. Documentation, governance & cataloguing 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. Support our early data science journey 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 Bring your expertise to help shape what good data science foundations look like. 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. Note: This is not an extensive list of responsibilities, however it gives a good picture of the opportunity. If you believe you meet the minimum criteria for the role, we encourage you to apply. 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 It’s great to see you’re considering a career with Securitas UK! 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 What You Can Expect Our Recruitment Team reviews every application carefully. Applying can feel daunting, but we’re here to support you—just email us if you need help. Diversity & Inclusion – Be Yourself We are an inclusive employer, proud of our Level 2 Disability Confident status (we will always try our hardest to guarantee interviews for eligible candidates, should you meet the roles minimum requirements, having disclosed a disability to our Talent Team upon application). We support equality through Employee Networks - Our real change makers of the business.. YOU, the Race at Work Charter, and the Armed Forces Covenant. We also celebrate diversity with events like BSL Week, International Women’s Day, PRIDE and Black History Month. Your Benefits STRIVE– Securitas Perks gives you access to a great range of discounts on a variety of retailers, services and everyday spending to suit your shopping habits. Dental Plans - A range of plans providing support, providing cash back towards everyday dental costs, such as dental examinations, X-rays, and treatment HSF Health Plan - Range of healthcare cash plans at highly discounted rates, providing families with peace of mind by getting cash back on everyday medical costs, such as dental check-ups, contact lenses and acupuncture, and by covering unexpected costs. Cycle to Work – A super cost-effective way of getting a brand new bike, cycling equipment or both. Save up to 42% of the usual cost and spread the cost over several months from your salary. 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 by building up a benefit in the Securitas Pension Plan, with the benefit of employer contribution plus tax relief on your contributions. Payroll ISA – An ISA savings account is a great way to meet your longer term personal financial goals. Free Mortgage Advice Go & Live – Financial Wellbeing Hub Death in Service Benefit - Permanent employees are automatically covered for Life Assurance, which would provide a lump sum benefit to your beneficiaries in the unfortunate event of death in service whilst employed by Securitas Take the Next Step Join a team that values you. Click ‘I’m Interested’ and start your career with Securitas UK today. See a different world. Pay Rate (UK): Annual Compensation: GBP55000 - GBP60000 - yearly

Responsibilities

The Senior Data Engineer will build, run, and scale modern data pipelines, developing production-grade pipelines in Databricks and designing datasets for analytics and reporting. They will also contribute to documentation, governance, and support data science initiatives.