At a Glance
- Tasks: Design and optimise data pipelines to support business decisions in a leading financial services company.
- Company: Join a top UK financial services firm focused on innovative data engineering.
- Benefits: Up to £76,000 salary, 20% bonus, hybrid work, and generous holiday allowance.
- Other info: Enjoy ongoing training and excellent career development opportunities.
- Why this job: Make a real impact by shaping high-quality data solutions in a collaborative environment.
- Qualifications: Extensive data engineering experience with strong skills in SQL, Python, and cloud platforms.
The predicted salary is between 76000 - 76000 £ per year.
You will join one of the UK’s leading financial services companies, committed to transforming how data is engineered, managed and leveraged to support business decision-making. Our client is looking for a Senior Data Engineer to play a key role in shaping and delivering high-quality data engineering solutions. This is a highly influential role where you will work within cross-functional teams to design, build and optimise data pipelines. You will also act as a technical expert within the wider data function, helping to standardise processes, reduce manual effort and improve the quality and reliability of data platforms.
Key Responsibilities
- Design, develop and maintain scalable, robust data pipelines and data engineering solutions
- Drive automation and standardisation across data engineering processes to improve efficiency and quality
- Provide technical leadership, coaching and mentoring to other engineers within the team
- Ensure best practices in testing, governance, security and data quality are consistently applied
- Collaborate with stakeholders and cross-functional teams to deliver high-quality data products
- Oversee and support third-party delivery where required, ensuring standards are met
- Contribute to continuous improvement of tools, frameworks and engineering methodologies
- Support operational excellence through monitoring, optimisation and issue resolution
Requirements
- Extensive experience in data engineering and DataOps within a commercial, Agile environment
- Strong expertise in building and automating scalable data pipelines
- Hands-on experience with cloud-based data platforms (e.g. AWS including S3, Glue, Redshift, Lambda or equivalents)
- Strong programming skills in SQL, Python, Spark and/or Scala
- Experience with CI/CD pipelines, infrastructure as code and automation tools
- Familiarity with containerisation and orchestration tools (e.g. Docker, Kubernetes, Terraform)
- Strong understanding of data governance, testing and quality assurance practices
- Proven ability to lead, mentor and influence technical teams
Salary up to £76,000 + up to 20% bonus. Hybrid working: Once a week or fortnight in the office. 28 days holiday plus bank holidays (option to buy and sell). Life assurance (6x annual salary). Personal pension with matched contributions. Ongoing training and opportunities for development.
If you are interested in the role, please apply now for immediate review!
Senior Data Engineer - 12 months FTC in Coventry employer: Lorien
Join one of the UK’s leading financial services companies, where innovation meets opportunity. As a Senior Data Engineer, you will thrive in a collaborative and dynamic work culture that prioritises employee growth through ongoing training and development. With a competitive salary, generous benefits including a bonus scheme, and a hybrid working model, this role offers a meaningful chance to make an impact while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - 12 months FTC in Coventry
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
We think you need these skills to ace Senior Data Engineer - 12 months FTC in Coventry
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien.
