At a Glance
- Tasks: Build and optimise data pipelines for payment processing systems.
- Company: Leading Financial Services Client with a focus on innovation.
- Benefits: Competitive pay, remote work options, and a chance to make an impact.
- Other info: Contract role until year-end, ideal for BC and Ontario candidates.
- Why this job: Join a dynamic team and accelerate critical data engineering deliverables.
- Qualifications: 8+ years in Data Engineering, strong SQL and Databricks skills.
The predicted salary is between 60000 - 80000 £ per year.
Our Financial Services Client is looking for a Sr. Data Engineer to support the Payments Pod in accelerating critical data engineering deliverables related to payment processing systems.
Overview: The role will focus on building and optimizing data pipelines in Databricks, supporting payment-related data flows, and ensuring timely delivery of high-priority engineering tickets. The ideal candidate will have strong domain knowledge in payments systems including wires, FX, and MT/MX messaging, and will work closely with an existing engineer and data architecture team to expedite delivery commitments before year-end. This is a Contract role until end of year, % Remote, Vancouver, BC preferred, open to BC and Ontario candidates.
Must Have:
- 8+ years of Data Engineering experience in financial/banking industry
- Strong experience with SQL and Databricks
- Experience working with large-scale data pipelines and transformations
- Strong understanding of payments domain (wires, FX, transaction processing)
- Familiarity with MT/MX messaging standards
- Ability to work in fast-paced delivery-focused environments
- Strong problem-solving and debugging skills
- Bachelor’s degree in Computer Science or related field
Sr. Data Engineer to support the Payments Pod in accelerating critical data engineering deliverables related to payment processing systems. in London employer: S I Systems
Join a dynamic team at the forefront of financial innovation, where your expertise as a Sr. Data Engineer will directly impact payment processing systems. Our Vancouver-based company fosters a collaborative work culture that prioritises employee growth and development, offering flexible remote work options and a commitment to delivering high-quality engineering solutions. With a focus on meaningful projects and a supportive environment, you'll have the opportunity to enhance your skills while contributing to critical data engineering deliverables in the fast-paced financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Data Engineer to support the Payments Pod in accelerating critical data engineering deliverables related to payment processing systems. in London
✨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 S I Systems 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 S I Systems.
✨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 S I Systems.
We think you need these skills to ace Sr. Data Engineer to support the Payments Pod in accelerating critical data engineering deliverables related to payment processing systems. in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at S I Systems, 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 S I Systems, 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 S I Systems’s attention and show the tangible impact of your work.
How to prepare for a job interview at S I Systems
✨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 S I Systems.
✨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 S I Systems.
✨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 S I Systems.
