At a Glance
- Tasks: Lead the design and development of innovative data solutions using Databricks.
- Company: Join a B Corp certified tech company focused on social mobility and education.
- Benefits: Enjoy a competitive salary, flexible working, 35 days holiday, and private medical care.
- Other info: Great culture with a focus on personal development and career progression.
- Why this job: Take ownership of exciting greenfield projects and shape the future of data engineering.
- Qualifications: Deep experience with Databricks, SQL, and Python/PySpark is essential.
The predicted salary is between 80000 - 80000 £ per year.
- £80,000, with flexibility for an exceptional candidate
- Up to 20% bonus
- Wilmslow / flexible working
- 35 days holiday + bank holidays
- Private medical & dental
- Defined progression towards Head of Engineering
We’re partnering with a brilliant, growing data business to find a Lead Data Engineer & Solution Architect who wants genuine technical ownership.
This is a company we absolutely love working with.
We’ve introduced a number of people into the team over the years who are still there, thriving and progressing.
That says a lot about the culture, the leadership and how seriously they take developing their people.
The opportunity itself is a rare mix of architecture and genuinely hands-on engineering.
You’ll become the technical owner of the Databricks-first platforms they build for clients, working predominantly on greenfield projects where you’re designing the foundations rather than inheriting years of legacy.
You’ll own and evolve the reference architecture, shape technical solutions and roadmaps, tackle the hardest engineering challenges, and help build the engineering function as the company enters its next stage of growth.
There’s also a defined progression route towards Head of Engineering.
- What you’ll be doing
- Owning and evolving a Databricks-first lakehouse architecture
- Designing and building complex ingestion and integration pipelines
- Working hands-on across Python, Py Spark and SQL
- Making decisions around batch, incremental and streaming patterns
- Designing dimensional models and data products
- Setting engineering standards across CI/CD, testing, Ia C and deployment
- Translating technical discovery into scalable solution architecture
- Building the engineering capability and standards as the team grows
- Working directly with clients on interesting, predominantly greenfield challenges
- What we’re looking for
There are four core things that matter
- Deep, hands-on Databricks experience, including Delta Lake, Unity Catalog, Workflows and DLT/Lakeflow
- Advanced SQL and Python/Py Spark
- Strong ingestion and integration experience, including APIs, CDC and incremental loading
- Data modelling and medallion architecture experience in real production environments
You do not need to come from consultancy.
In fact, if you’re currently leading or owning a data platform in-house and want broader technical ownership, greenfield work and the opportunity to develop your architecture and client-facing experience, we’d particularly like to hear from you.
Experience with Terraform, dbt, Fabric, Snowflake, MLflow, Azure infrastructure or Power BI is useful, but it isn’t the reason we’ll hire you.
This is ultimately about finding someone who still loves engineering, has strong technical judgement and gets excited by the idea of building something rather than simply inheriting it.
And the culture matters just as much.
It’s a human-centred, B Corp certified business that invests heavily in development, including funded Databricks certification, while also doing meaningful work around social mobility and technology education in Greater Manchester.
If you’re a Lead / Principal Data Engineer or Data Platform Engineer looking for more ownership and a genuine path towards engineering leadership, we’d love to chat.
Diversity & Inclusion
At Mirai, we believe diversity drives innovation.
We’re committed to creating an inclusive recruitment process and encouraging applications from people of all backgrounds, experiences and perspectives.
We know that no candidate will tick every single box.
If you’re excited about this opportunity but don’t meet every requirement, we’d still encourage you to apply.
If you need any reasonable adjustments throughout the recruitment process, please let us know.
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Lead Data Engineer in Wilmslow employer: Mirai Talent
As an Azure Data Platform Lead at this large global organisation, you will thrive in a dynamic work culture that prioritises innovation and collaboration. The company offers exceptional employee growth opportunities, including access to cutting-edge technology and professional development programmes, all while being part of a diverse team dedicated to excellence in data governance and architecture. Located in a vibrant area, the organisation also provides competitive benefits that enhance work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Wilmslow
✨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 Mirai Talent!
✨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 Mirai Talent.
✨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 Mirai Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Mirai Talent, 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 Wilmslow
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 Mirai Talent, 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 Mirai Talent. 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 Mirai Talent
✨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 Mirai Talent!
✨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.
