At a Glance
- Tasks: Join a dynamic team to build and evolve a cutting-edge data platform.
- Company: Disruptive FinTech investing heavily in data and technology.
- Benefits: Hybrid work, competitive salary, and a focus on professional growth.
- Other info: Diverse and inclusive culture welcoming all backgrounds and experiences.
- Why this job: Make a real impact in a fast-paced environment with innovative technologies.
- Qualifications: Experience with Databricks, Python, SQL/Spark, and strong data foundations.
The predicted salary is between 63000 - 77000 £ per year.
Permanent Manchester, United Kingdom Senior Data Engineer Manchester | Hybrid, ideally 2 days per week We’re working with a truly disruptive Fin Tech that is continuing to invest heavily in its data and technology capability.
With a growing Data Science function and around 3–5TB of new data being processed each week, they’re looking for a Senior Data Engineer to help build and evolve the platform behind it.
This isn’t necessarily a traditional Data Engineering profile.
They’re open to people from Data Engineering, Platform, Dev Ops or Systems Engineering backgrounds, but strong data foundations and hands-on Databricks experience are key.
The role You’ll work within a cross-functional team, helping continue the move towards a Databricks-native environment and building reliable, scalable data and platform capabilities.
You’ll be working across: Databricks, Python, SQL and Spark High-volume data ingestion and transformation Production ETL/ELT pipelines APIs, SFTP/FTPS and automated data retrieval CI/CD, automated testing and deployment Platform reliability, monitoring and troubleshooting Azure infrastructure, security and governance Data Science, ML and increasingly agentic workflows The focus is production engineering rather than building AI models, creating the foundations that allow Data Science and automated workflows to operate effectively.
What we’re looking for Databricks is the big one.
Alongside that, we’re looking for strong Python, SQL/Spark and ETL/ELT experience, good knowledge of databases and data warehousing, including dimensional/Kimball principles, plus an understanding of platform, Dev Ops and systems engineering.
They also value genuine technical curiosity.
If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they’ll want to hear about them.
A STEM background is beneficial, but not essential.
Nice to have Databricks Asset Bundles, Lakeflow Jobs/Pipelines, Unity Catalog, Volumes and/or Lakebase Agentic or AI-enabled engineering workflows, LLM integrations or AI coding tools Playwright/Selenium Docker/Kubernetes Terraform/Bicep Agile development environments Scala, Power Shell and YAML The team You’ll join a highly technical, collaborative team working closely with a growing Data Science function.
Ideally you’ll spend around two days per week in the Manchester office, but it’s an output-driven environment with plenty of autonomy.
Diversity & Inclusion We welcome applications from people of all backgrounds and experiences.
If the role interests you but you don’t tick every box, we’d still encourage you to apply.
Different experiences, perspectives and routes into technology are valued.
Senior Data Engineer employer: Mirai Tech Recruitment
Join a mission-driven organisation in London or Manchester as the Head of Data Science, where your work will directly impact the lives of the people you serve. With a strong focus on employee growth and a collaborative culture, you'll lead a multidisciplinary team to harness data for meaningful advocacy, all while enjoying a competitive salary, generous leave, and hybrid working options. This is an exceptional opportunity to contribute to a public sector initiative that values diversity and inclusivity, making it a truly rewarding place to work.
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 Mirai Tech Recruitment!
✨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 Mirai Tech Recruitment.
✨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 Tech Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Mirai Tech Recruitment, 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 Mirai Tech Recruitment, 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 Tech Recruitment. 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 Tech Recruitment
✨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 Tech Recruitment!
✨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.
