At a Glance
- Tasks: Design and develop scalable data pipelines using Databricks and PySpark.
- Company: Join a leading firm in the financial services sector focused on regulatory reporting.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Opportunity to lead teams and ensure high engineering standards.
- Why this job: Be part of a major data transformation programme and make a real impact.
- Qualifications: Strong experience with Databricks, PySpark, and Azure data platforms.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a Senior Data Engineer / Developer to join a major Liquidity Reporting programme, delivering regulatory reporting solutions for large UK insurers. This is a hands-on role focused on building and enhancing a Databricks-based data engineering framework. You will design and develop scalable PySpark pipelines covering data ingestion, validation, transformation, and mapping, while creating reusable libraries and ensuring high engineering standards. You will also provide technical leadership, conducting code reviews, guiding offshore teams, and ensuring delivery quality aligns with architectural and regulatory requirements.
Key Requirements:
- Strong experience with Databricks and PySpark
- Solid Azure data platform experience
- Proven ability to build reusable frameworks and libraries
- Experience leading code quality and working with offshore teams
Desirable:
- Experience in regulatory reporting or financial services
- Exposure to Tagetik or similar reporting tools
- Knowledge of metadata-driven or configurable data models
This is an opportunity to play a key role in a large-scale data transformation programme with a strong focus on engineering best practice and regulatory delivery.
Senior Engineer, Data Engineering in London employer: Opus Recruitment Solutions Ltd
Join a forward-thinking company that values innovation and excellence in the heart of London. As a Senior Data Engineer, you will thrive in a collaborative work culture that prioritises professional growth and offers competitive daily rates. With opportunities to lead technical initiatives and work on impactful regulatory projects, this role provides a unique chance to enhance your skills while contributing to meaningful solutions in the financial services sector.
Contact Details:
Opus Recruitment Solutions Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Senior Engineer, Data Engineering at Opus Recruitment Solutions Ltd, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
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Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Opus Recruitment Solutions Ltd.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
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Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
