At a Glance
- Tasks: Lead data engineering projects and mentor junior engineers while solving complex technical challenges.
- Company: Join a top-rated consultancy known for its friendly, hands-on culture and impactful work.
- Benefits: Enjoy private healthcare, generous pension contributions, and 25 days annual leave plus bank holidays.
- Other info: Flexible working model with opportunities for personal development and a commitment to diversity.
- Why this job: Make a real difference by transforming data into actionable insights across diverse industries.
- Qualifications: Strong SQL and Python skills, with experience in cloud environments and scalable solutions.
The predicted salary is between 60000 - 75000 £ per year.
About Us
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 in this tech‑agnostic consultancy, you will develop broad and adaptable skillsets. You’ll remain hands‑on while also providing technical leadership across projects, teams, and clients. You’ll have the ability to quickly understand new technologies, evaluate their suitability, and guide teams toward pragmatic, scalable solutions. No two projects are the same, so we encourage our engineers to become technology polyglots and select the right tools for each client’s needs. Alongside delivering high‑quality engineering outcomes, you’ll play a key role in shaping technical direction, mentoring colleagues, contributing to solution architecture, and supporting client stakeholders through complex technical challenges. Our work spans data platform implementations, business intelligence, software engineering, AI solutions, and cloud transformation projects, giving you the opportunity to work across a wide range of technologies while being part of a talented community of 25+ engineers.
We expect you to have:
- Strong proficiency with SQL, Python, and at least one additional programming language (e.g. C#, Java, JavaScript, TypeScript, C++).
- Significant experience designing, building, and supporting scalable engineering solutions.
- Experience working within cloud environments (Azure, AWS, or GCP).
- A strong understanding of engineering best practices, including testing, code quality, version control, and design patterns.
- Experience leading technical workstreams, owning technical decisions, and providing guidance to other engineers.
- The ability to work directly with clients to gather requirements, translate business needs into technical solutions, and communicate complex concepts to technical and non‑technical audiences.
- Experience in mentoring, coaching, and supporting the development of junior and mid‑level engineers.
It would be nice to have any of the below:
- Experience designing and implementing modern data platforms using technologies such as Microsoft Fabric, Snowflake, Databricks, or similar.
- Experience with solution and/or data architecture.
- Front‑end software engineering experience, including building web applications with React (or similar frameworks).
- Strong DevOps and platform engineering experience, including Infrastructure as Code, CI/CD, observability, and tools such as Docker, Terraform, and Kubernetes.
- AI engineering and architecture experience, including GenAI, LLMs, RAG, agentic systems, and prompt engineering.
- Experience supporting pre‑sales activities, technical discovery workshops, estimations, and proposal creation.
Certifications (Desirable):
- Azure certifications such as DP-700, DP-600, AZ-305, or AI‑focused certifications such as AI‑900 and AI‑103.
- Snowflake SnowPro Core or SnowPro Specialty or Advanced certifications.
- Equivalent certifications in cloud, data, AI, architecture, or software engineering technologies.
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:
- 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.
- 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 plus 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 – not just for our people, but our clients and our business. Our commitment to DEIB is not 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: Story Terrace Inc.
At Story Terrace Inc., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Marketing Director in the UK, you will not only lead a talented team but also enjoy competitive benefits such as a substantial salary, private health insurance, and ample vacation time, all while contributing to meaningful growth and brand development in a forward-thinking environment.
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 Story Terrace Inc.!
✨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 Story Terrace Inc..
✨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 Story Terrace Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Story Terrace Inc., 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 Story Terrace Inc., 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 Story Terrace Inc.. 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 Story Terrace Inc.
✨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 Story Terrace Inc.!
✨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.
