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- Tasks: Transform messy financial data into clean, automated pipelines and dashboards.
- Company: Join a forward-thinking financial services firm focused on innovation.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by modernising financial data processes and driving decision-making.
- Qualifications: 4+ years in data engineering, strong SQL skills, and financial market experience.
- Other info: Dynamic role with ownership and collaboration in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
We’re looking for a Senior Data Engineer to help modernise how financial and actuarial data is handled. This is a hands-on contract role focused on building scalable data infrastructure that replaces manual, spreadsheet-heavy processes with automated, auditable workflows.
If you enjoy turning messy financial data into clean, trusted pipelines and dashboards that people actually rely on, this one’s for you.
The MissionYou’ll be building robust backend data systems that power automated pipelines and business-facing dashboards for financial services clients. The work is practical, high-impact, and close to real decision-making.
What you’ll be doing- Designing and implementing cloud data warehouse schemas (BigQuery preferred)
- Building reconciliation logic and data quality frameworks for financial data
- Creating dashboards and visualisations for business stakeholders
- Working with financial instrument identifiers like ISIN and CUSIP
- Mapping and reconciling data across multiple financial systems
- 4+ years experience in data engineering or data architecture
- Strong SQL and hands-on experience designing data warehouse schemas
- Background in asset management or financial markets (investment accounting, fund administration, portfolio management)
- Experience building reconciliation logic and data quality checks
- Comfortable with BI tools such as Looker or Looker Studio
- Insurance or reinsurance domain experience
- Exposure to platforms like Clearwater or Aladdin
- Familiarity with regulatory reporting (IFRS 17, BSCR, Solvency II)
- Python for data processing or automation
- Experience with GCP services like Cloud Storage, Pub/Sub, Cloud Run
- Curious and proactive. You dig into problems and ask smart questions
- Reliable and accountable. You deliver and take ownership
- Adaptable. You’re comfortable with ambiguity and learning new domains
- Collaborative. You work well with engineers, analysts, and stakeholders
2-stage interview process. Senior, hands-on role with real ownership.
Data Engineer - Financial Services employer: thegolangguy
Contact Detail:
thegolangguy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Financial Services
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipelines and dashboards. This will give potential employers a taste of what you can do and how you can modernise their data handling.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data warehousing knowledge. Be ready to discuss specific challenges you've faced in previous roles and how you tackled them. Real-world examples will make you stand out!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Data Engineer - Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and financial services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for transforming messy data into clean pipelines and how your background in finance makes you a strong candidate.
Showcase Your Technical Skills: We’re looking for specific skills like SQL, cloud data warehousing, and BI tools. Make sure to mention these in your application and provide examples of how you’ve used them in past roles.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at thegolangguy
✨Know Your Data Inside Out
Make sure you’re well-versed in the financial data landscape. Brush up on key concepts like ISIN and CUSIP, and be ready to discuss how you've handled messy data in the past. This will show your potential employer that you can turn complex data into reliable pipelines.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL prowess and experience with cloud data warehouse schemas, especially BigQuery. Bring examples of your previous work where you built reconciliation logic or data quality frameworks. This hands-on experience is crucial for the role.
✨Be Ready for Scenario Questions
Expect questions that assess your problem-solving skills. Think about scenarios where you had to adapt to ambiguity or collaborate with different teams. Prepare specific examples that highlight your proactive approach and accountability in delivering results.
✨Familiarise Yourself with BI Tools
If you’ve worked with Looker or similar BI tools, be prepared to discuss how you’ve used them to create dashboards and visualisations. Highlight any projects where your insights directly influenced decision-making, as this will resonate well with the interviewers.
