At a Glance
- Tasks: Lead a team to transform complex data into actionable insights using modern tech.
- Company: Join a forward-thinking financial services firm on a data transformation journey.
- Benefits: Earn up to £80k plus car allowance, bonus, and great benefits.
- Other info: Enjoy hybrid working with opportunities for career growth in a dynamic environment.
- Why this job: Make a real impact in a hands-on leadership role with cutting-edge technology.
- Qualifications: Experience in data engineering, Databricks, Azure, and mentoring teams.
The predicted salary is between 48000 - 64000 £ per year.
Job Title: Senior Data Engineer in Databricks
Employer: Akkodis
Location: Not Specified, United Kingdom
Salary: + Car Allowance + Bonus
Employment Type: Permanent
Reference Number: 23643_224257851
Job Details:
Senior Data Engineer in Databricks – Lead the Future of Data in Financial Services
Location: Hybrid 2-3 days/week on site
Offices: South East and North West
Salary: Up to 80,000 + Car Allowance + Bonus + Benefits
Note: Visa sponsorship is not available for this role.
Be the Technical Leader in a Bold Data Transformation
Our client is entering a pivotal phase in its data journey. With a new Head of Data already in place and a Data Architect joining shortly, the business is investing in a modern, scalable data platform to turn messy, complex client data into trusted, actionable insights.
As Senior Data Engineer, you’ll be the technical lead driving this transformation. You’ll mentor two engineers, shape platform architecture, and embed best practices across the team. This is a hands‑on leadership role for someone who thrives in small, agile environments and wants to make a real impact.
Key Responsibilities
- Lead and mentor two Data Engineers, providing technical guidance and coaching.
- Design and deploy modern data pipelines using Databricks and Azure.
- Transform unstructured external data into clean, business‑ready models.
- Build semantic layers and embed Unity Catalog for robust data governance.
- Guide the team in taking Databricks from development to production.
- Support Terraform adoption and infrastructure‑as‑code practices.
Why This Role Stands Out
- Leadership and impact: Influence technical direction, team culture, and delivery standards.
- Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform.
- Attractive package: Up to 80k base + car allowance + bonus + benefits.
- Hybrid working: Offices across the South East and North West, with 2-3 days/week onsite.
What We’re Looking For
- Proven technical leadership in data engineering teams.
- Deep experience with Databricks, Azure, SQL, and ideally Python.
- Strong understanding of MDM, semantic modeling, and Unity Catalog.
- Ability to handle messy, unstructured data and build scalable solutions.
- Comfortable mentoring and guiding a small, agile team.
- Finance sector experience is a bonus-but not essential.
Interview Process
- Initial coffee chat to explore team fit and technical challenges.
- Technical interview covering Databricks, MDM, semantic layers, pipeline design, and governance.
This is a rare opportunity to lead, build, and shape the future of data in a growing financial services business.
Ready to make your mark? Let’s talk.
Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.
Senior Data Engineer in Databricks | Not Specified employer: Akkodis
Akkodis is an exceptional employer for Senior Data Engineers, offering a dynamic work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to lead a talented team while working with cutting-edge technologies in a hybrid setting across the South East and North West. The attractive salary package, including a car allowance and bonus, combined with a culture that values mentorship and technical leadership, makes Akkodis a standout choice for those looking to make a significant impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Databricks | Not Specified
✨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 Akkodis!
✨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 in Databricks | Not Specified at Akkodis.
✨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 Akkodis.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer in Databricks | Not Specified at Akkodis, 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 in Databricks | Not Specified
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 Akkodis, 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 Akkodis. 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 Akkodis
✨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 Akkodis!
✨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.
