At a Glance
- Tasks: Lead the design and delivery of scalable data platforms and pipelines for a major retail brand.
- Company: Join a leading retail brand with a focus on innovation and teamwork.
- Benefits: Enjoy a performance-related bonus, healthcare, flexible benefits, and 25 days holiday.
- Other info: Hybrid work model with excellent career growth and development opportunities.
- Why this job: Make a real impact by shaping data solutions and mentoring future engineers.
- Qualifications: Strong experience in data engineering, GCP, Python, and SQL required.
The predicted salary is between 63000 - 77000 £ per year.
- Lead
- Data
- Engineer
Location:
West Midlands | Hybrid
3 days per week onsite
The Role Were looking for an experienced Lead Data Engineer to provide hands-on technical leadership within a data engineering team for a large retail brand.
Youll lead the design and delivery of scalable, resilient data platforms and pipelines, set engineering standards, shape technical direction, and mentor engineers.
Youll work closely with engineering, data and business stakeholders to solve complex problems and deliver high-quality data solutions.
Key Responsibilities Lead the technical design and architecture of data pipelines, models and platform components.
Establish standards across code quality, testing, security, observability and documentation.
Drive technical discovery, design sessions, code reviews and resolution of technical debt.
Design and deliver scalable batch and streaming data solutions.
Mentor and coach engineers, supporting technical development and knowledge sharing.
Make informed recommendations on tools, technologies and architectural approaches.
Champion data quality, governance, security and compliance by design.
Collaborate with data, product and technology teams to deliver joined-up solutions.
Contribute to technical hiring, onboarding and team capability development.
What Youll Bring Strong senior/lead-level experience in data engineering.
Deep experience with GCP, particularly Big Query, Dataflow, Pub/Sub, Cloud Storage and Cloud Composer/Airflow.
Advanced Python and SQL skills with a strong software engineering mindset.
Proven experience building complex, scalable batch and event-driven pipelines.
Strong data modelling experience, including dimensional modelling, Data Vault or equivalent.
Experience with Dataform or similar SQL-based transformation tooling.
Understanding of CI/CD, Git, automated testing and infrastructure as code, particularly Terraform.
Experience implementing data quality, monitoring, observability and alerting.
Ability to lead architecture decisions and communicate technical trade-offs clearly.
Desirable:
Spark/Data Proc, Looker or similar BI tools, analytics engineering, data mesh/platform architecture, GCP cost optimisation, and experience within retail or e-commerce environments.
Benefits Performance-related bonus Healthcare and employer pension contributions 25 days holiday plus birthday and bank holidays Flexible benefits, including EV, dental, cycle-to-work and holiday trading schemes Employee discounts and wellbeing support Enhanced family leave and life assurance Onsite gym membership, lunch and coffee facilities EV charging available
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Lead Data Engineer in Birmingham employer: develop
As a Central Government Sector Leader at our client, you will join an innovative AI-native consultancy that prioritises employee growth and offers a dynamic work culture. With a competitive salary and substantial bonus potential, you will have the opportunity to shape the future of public sector consulting while enjoying a flexible work environment in Farringdon, fostering collaboration and creativity among talented professionals dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Birmingham
✨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 develop!
✨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 Lead Data Engineer at develop.
✨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 develop.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at develop, 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 Lead Data Engineer in Birmingham
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 develop, 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 develop. 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 develop
✨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 develop!
✨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.
