At a Glance
- Tasks: Design and maintain robust data pipelines for a next-gen enterprise data platform.
- Company: Leading financial services firm launching an innovative data team.
- Benefits: Competitive day rate, hybrid work model, and potential for long-term contract.
- Other info: Opportunity to mentor junior staff and collaborate with global stakeholders.
- Why this job: Join a dynamic team and shape the future of data engineering in finance.
- Qualifications: Expert SQL skills and experience with Snowflake, dbt, and Azure DevOps.
Location: London (Hybrid)
Duration: 6-Month Contract (High potential for 1+ year extension or perm conversion)
Day rate - 370 - 450 per day Inside IR35
The Role: My Client in financial services is launching a new divisional data team to build a next-generation enterprise data platform. Reporting to the AVP of Data Engineering, you will define engineering best practices, build data-intensive pipelines, and bridge the gap between global business units and technical delivery.
Key Responsibilities:
- Build & Scale: Design, test, and maintain robust data pipelines and data warehouse architecture.
- Governance & Quality: Lead code/architecture reviews, enforce IT controls, and optimize system quality.
- Mentorship: Provide technical guidance and assistance to junior development staff.
- Collaboration: Partner with global stakeholders to translate business needs into technical outputs.
Requirements & Tech Stack:
Core Technical Skills:
- Databases: Expert SQL skills; extensive experience with Snowflake and MS SQL Server.
- ETL & Modeling: Strong experience with dbt and at least one ETL tool (Matillion, Fivetran, SNP Glue, or Informatica).
- CI/CD: Hands-on experience with Azure DevOps (or similar) and shell scripting.
- Engineering Principles: Deep understanding of data modeling, curation, orchestration, and TDD/unit testing.
Soft Skills & Nice-to-Haves:
- Agile approach, excellent stakeholder communication, and a results-oriented mindset.
- Pluses: Insurance/Reinsurance industry experience, PowerBI/Tableau, SAP, or NoSQL (DynamoDB/Cosmos).
Senior Data Engineer employer: Randstad Technologies Recruitment
As a Senior Data Engineer at our London-based financial services firm, you will thrive in a dynamic hybrid work environment that champions innovation and collaboration. We offer competitive day rates, opportunities for contract extension or permanent conversion, and a culture that prioritises mentorship and professional growth, ensuring you can make a meaningful impact while advancing your career in the data engineering field.
Contact Details:
Randstad Technologies Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in financial services. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your SQL expertise and experience with tools like Snowflake and dbt. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD processes and how you've collaborated with stakeholders in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Snowflake, and ETL tools like dbt. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our new divisional data team. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Soft Skills:Don’t forget to mention your soft skills! We value excellent communication and a results-oriented mindset. Give us examples of how you've collaborated with stakeholders or mentored junior staff in previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Randstad Technologies Recruitment
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in SQL, Snowflake, and MS SQL Server. Brush up on your ETL tools like dbt and Matillion, as well as Azure DevOps. Being able to discuss your hands-on experience with these technologies will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to design and maintain robust data pipelines while ensuring quality and governance. This will demonstrate your practical knowledge and critical thinking.
✨Emphasise Collaboration and Mentorship
Since this role involves working with global stakeholders and mentoring junior staff, be ready to share experiences where you successfully collaborated with others. Talk about how you’ve translated business needs into technical solutions and guided less experienced team members.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their data platform and team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding agile practices and stakeholder communication.
