At a Glance
- Tasks: Lead the delivery of high-quality data solutions and own projects from start to finish.
- Company: Join Oakland, a top consultancy known for its collaborative and impactful work culture.
- Benefits: Enjoy private healthcare, generous pension, and a range of wellbeing services.
- Other info: Flexible working model with opportunities for personal development and career growth.
- Why this job: Make a real difference by turning data into impactful results across diverse industries.
- Qualifications: Experience in data engineering, Python, SQL, and cloud-based solutions is essential.
The predicted salary is between 60000 - 80000 £ per year.
At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands-on experts who love solving problems and making a difference. We don’t just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi-year data transformations to specific, shorter-term assignments, so you’ll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don’t just benefit the bottom line but also our people, communities, and the planet. And it’s not just us saying we’re a great place to work... we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We’re all about creating an environment where people can grow, do meaningful work, and enjoy the journey.
The Role
As a Senior Data Engineer at Oakland, you’ll lead the delivery of high-quality data solutions for our clients. You’ll take ownership of projects end-to-end - setting the technical direction, getting stuck into the build, and making sure what we deliver is solid, scalable, and genuinely useful. No two projects are the same, so you’ll be working across different industries, technologies, and problem spaces. It’s a mix of hands-on engineering and leadership - supporting others, making key decisions, and helping projects land well. Our work covers Data Strategy, Data Management, Data Platforms, AI, and Analytics. You’ll be joining a consultancy that prides itself on shaping solutions that deliver business value and lasting impact, and you'll be working alongside a talented team of 25+ Engineers & Architects, sharing ideas, supporting each other, and helping raise the bar across the team. We’re tech-agnostic and client-first - we use whatever works best, whether that’s our own platform or tools from partners like Microsoft, AWS, Databricks, Snowflake, etc.
What We’re Looking For
You’re an experienced Data Engineer who’s comfortable owning things from start to finish. You’ve delivered complex projects before and know what “good” looks like - from code quality to architecture, to working with stakeholders. You may be at mid-level, and feel ready for a step up, or you may already be at a Senior level, looking for a new challenge. You’re still hands-on (this isn’t a pure leadership role), but you’re also happy leading workstreams, guiding others, and making calls when needed. At this level, we’d expect you to:
- Design and build robust, scalable data solutions
- Take the lead on projects or key pieces of work
- Set and maintain high engineering standards
- Support and mentor other Engineers
- Work directly with clients to understand problems and shape solutions
You don’t need to know every tool, but you should be adaptable and open to learning - we work across a pretty broad ecosystem of technologies.
The Skillset
We’re looking for a mix (not all!) of the experience and skills below:
- Strong experience with Python and SQL
- Solid experience designing and building cloud-based data solutions (Azure preferred, AWS/GCP also fine)
- Experience building and maintaining complex data pipelines at scale
- Hands-on experience with modern platforms such as Fabric, Snowflake, or Databricks
- An understanding of data modelling, architecture, and how platforms fit together
- Experience with DevOps practices (CI/CD, testing, monitoring)
- Experience working from requirements through to delivery
- Comfortable working with clients and stakeholders
- Relevant certifications from Microsoft, AWS, Snowflake, and GCP are desirable, but not essential
Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support.
Benefits that put you first
At Oakland, we believe in taking care of our people - both inside and outside of work. Here’s what you can expect when you join us:
- Health & Wellbeing – Enjoy Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best.
- Discretionary Bonus – Your hard work won’t go unnoticed. When we do well, you’ll do well.
- Generous Pension – We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences.
- Electric Vehicle Scheme – Drive greener with tax-efficient options to get behind the wheel of an electric car.
- Giving Back – Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program.
- Bike to Work Scheme – Save money, stay active, and enjoy tax savings on a new bike.
- Family-Friendly Policies – We support all paths to parenthood with:
- Enhanced Maternity Pay – 16 weeks full pay, 10 weeks half pay.
- Enhanced Paternity Pay – 2 weeks full pay, 2 weeks half pay.
- Adoption, Surrogacy & Shared Parental Leave.
- Fertility Treatment Support – Because your family matters.
- Time to Recharge – 25 days annual leave + bank holidays (and your allowance grows the longer you’re with us!).
- Learning & Development – We invest in you with:
- Personalised development plans tailored to your goals.
- Full support for certifications.
- Access to The Oakland Academy for a suite of learning materials.
- An annual Personal Learning Budget to upskill in ways that matter to you.
- Refer & Earn – Know someone great? If they join us, you’ll get a referral bonus as a thank you.
Diversity, Equity, Inclusion & Belonging at Oakland
At Oakland, we believe that diverse perspectives drive better outcomes for our people, our clients, and our business. Our commitment to DEIB isn’t just about policies; it’s about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself, no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you.
Fair & Inclusive Hiring – Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills-based and structured to ensure fairness and consistency for all candidates.
Support Throughout the Interview Process – If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help. Just let us know.
Senior Data Engineer employer: Oakland Everything Data
At Oakland, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through personalised development plans, generous benefits including private healthcare and a robust pension scheme, and a focus on work-life balance with blended working arrangements. Located in Leeds, we provide a supportive environment where you can thrive while making a meaningful impact through data-driven solutions for diverse clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oakland Everything Data!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Oakland Everything Data.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oakland Everything Data.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Oakland Everything Data, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Oakland Everything Data, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oakland Everything Data. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oakland Everything Data
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oakland Everything Data!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.