At a Glance
- Tasks: Design and build scalable data platforms to support business decisions and reporting.
- Company: Join Bionic, the UK's leading business comparison service for SMEs.
- Benefits: Enjoy private healthcare, flexible working, and generous leave options.
- Other info: Be part of a culture focused on innovation, improvement, and career growth.
- Why this job: Make a real impact on thousands of businesses while advancing your data engineering skills.
- Qualifications: Proven experience in data pipelines, SQL, Python, and cloud platforms like AWS and Snowflake.
The predicted salary is between 60000 - 75000 £ per year.
At Bionic, we’re on a mission to make it radically easier to run a small business. As the UK’s leading business comparison and switching service, we help thousands of small and medium‑size businesses save time and money on essentials like energy, broadband, insurance, and finance. We combine smart technology with real human support to match our customers with the best deals – quickly and effortlessly.
As a Senior Data Engineer you’ll be responsible for designing, building, and scaling robust, high‑quality data platforms that underpin critical business reporting and operational decision‑making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes. You will act as a technical leader within the team, shaping design decisions, mentoring engineers, and ensuring delivery of resilient, well‑governed data products. This role requires strong technical expertise, strategic thinking, and the ability to translate complex business needs into scalable, production‑grade data solutions.
Key Responsibilities
- Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices.
- Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency, and maintainability.
- Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption.
- Architect and evolve analytics‑ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability.
- Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate them into scalable technical solutions.
- Drive continuous improvement of data engineering practices, including CI/CD, observability, testing frameworks, and documentation standards.
- Provide technical leadership through mentoring, code reviews, and guidance to junior team members, fostering engineering excellence.
- Ensure compliance with security, governance, and data privacy requirements, embedding best practices in all solutions.
- Contribute to strategic data platform decisions, including tooling, architecture, and long‑term roadmap planning.
Essential Skills and Experience Required
- Proven experience designing, building and maintaining scalable data pipelines and cloud‑based data platforms in production environments.
- Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations.
- Strong Python skills for data engineering, automation and system integrations.
- Hands‑on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls.
- Strong experience with dbt, including modelling, testing and deployment best practices.
- Solid knowledge of AWS data services and cloud‑native architectures (e.g. S3, Lambda, IAM, CloudWatch).
- Experience with modern software engineering practices, including Git, CI/CD and automated testing.
- Strong understanding of data modelling and data warehousing principles.
- Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions.
- Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders.
- Comfortable working in ambiguity, translating complex business requirements into structured technical solutions.
- Strong communication skills, with the ability to engage both technical and non‑technical audiences.
Nice to have
- Experience with real‑time or streaming data architectures.
- Exposure to Salesforce data models and API integrations.
- Experience using AWS CDK for infrastructure deployment.
- Familiarity with orchestration tools such as Airflow.
- Experience implementing data observability, monitoring and alerting solutions.
- Knowledge of BI platforms such as Tableau and how data products are consumed by end users.
- Exposure to MLOps practices, including supporting machine learning pipelines, model deployment and monitoring.
- Awareness of emerging trends, technologies and best practices within modern data engineering.
Why Join Bionic
At Bionic, better never stops. You’ll join a team obsessed with improvement, innovation and impact – where your expertise will directly shape how thousands of British businesses grow and thrive.
Benefits
- Private healthcare cover
- Employee Assistance Programme, including a virtual GP service, priority physio & talking therapies
- Eyecare scheme
- 25 days annual leave plus the 8 UK bank holidays, increasing with tenure
- 1 paid family/religious day of leave per year - following successful probation period
- 1 paid charity volunteering day per year
- Option to buy/sell up to an additional 3 days leave per year
- Enhanced maternity, paternity or shared parental leave
- 2 days off for your wedding upon joining, and up to 5 days after 2 years service
- Flexible working options & a hybrid work approach
- Auto‑enrolled salary sacrifice pension scheme
- Life assurance
- Season ticket loans, salary advances & loans to buy or rent a home – based on tenure
- Cycle to work scheme
- Highflyers incentive, a VIP experience for our high performers across Bionic group to celebrate success
- Company summer & Christmas party celebrations, business and local zone & annual awards and recognition
- Long service awards
Senior Data Engineer employer: Bionic Services Limited
At Bionic, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to make a real impact in the lives of small businesses across the UK. As a Senior Data Engineer, you will not only have the opportunity to work with cutting-edge technologies but also benefit from a comprehensive range of perks including private healthcare, generous leave policies, and a commitment to your professional growth through mentorship and continuous improvement initiatives. Join us in a collaborative environment where your contributions are valued and celebrated, making every day at Bionic a rewarding experience.
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 Bionic Services Limited!
✨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 Bionic Services Limited.
✨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 Bionic Services Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Bionic Services Limited, 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 Bionic Services Limited, 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 Bionic Services Limited. 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 Bionic Services Limited
✨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 Bionic Services Limited!
✨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.
