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- Tasks: Lead the design and development of data pipelines for impactful projects.
- Company: Join GSS, a startup transforming global finance with cutting-edge technology.
- Benefits: Enjoy 30 days of holiday, comprehensive benefits, and hybrid work options.
- Why this job: Make a real impact in a growing team while developing your skills.
- Qualifications: Experience with AWS technologies, SQL, Python, and building scalable data pipelines.
- Other info: Diversity is valued; all qualified applicants are encouraged to apply.
The predicted salary is between 48000 - 84000 £ per year.
Join to apply for the Senior Data Engineer role at GSS – Global Screening Services .
About GSS
Hello. Welcome to GSS! We’re transforming the global financial system with cutting-edge technology, including artificial intelligence and collaboration with top financial institutions. Our platform sets new standards in compliance screening for sanctions, making international payments faster, smoother, and friction-free. Join us in revolutionising the industry and making a real impact!
About The Role
This is an exciting opportunity to join our growing Software Engineering team as a Senior Data Engineer.
What You’ll Do
Key responsibilities in this role will include (but not be limited to):
- Lead the design, development and enhancement of our data pipelines to support use cases such as reporting, data extraction/export etc.
- Own the delivery of your code from design all the way to production.
- Collaborate with Software Engineers to develop the GSS platform.
- Collaborate with the Product team to provide expert Data Engineering advice and recommendations.
- Collaborate across the wider Technology teams (Architecture, Security) to ensure code adheres to the architecture designs and security standards (i.e. vulnerabilities).
- Ensure code always meets the required engineering GSS standards.
- Support the GSS Engineering Lead driving the strategic direction of the Software Engineering department.
- Support and mentor Data Engineering colleagues.
What you’ll need
- Experience designing and building high throughput, scalable, resilient and secure data pipelines.
- Experience with the following AWS technologies: Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose.
- Expert knowledge of SQL.
- Hands on experience with Kafka.
- Hands on experience with Terraform.
- Hands on experience of Python with a Data Analytics programming paradigm.
- Experience building CI/CD pipelines.
- Exceptional troubleshooting and debugging skills.
Good To Have
- Experience with design and implementation of integration solutions for event/data streaming.
- Experience working with Apache Superset.
- Start-up experience.
- Exposure to Payments domain – ideally sanctions screening.
What You Get In Return
Impactful Work: Be part of a growing startup where your contributions make a real difference.
Generous Leave: Enjoy 30 days of holiday (plus bank holidays).
Comprehensive Benefits: Including a generous pension scheme, private medical insurance, and life assurance.
Wellbeing Perks: Access to EAP, YuLife, holistic wellbeing programs, and a Virtual GP for your health and happiness.
Flexibility: Hybrid working environment with the option to work remotely for up to 4 weeks a year.
Learning: Access to Udemy, a learning platform with thousands of top-rated courses to develop both tech and business skills.
Ready to revolutionise finance and have fun doing it? Join GSS where we live by our values: Be Respectful, Be Bold and Take Ownership . Come join us and take your career to new heights!
Diversity statement
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, gender, sexual orientation, gender identity, national origin, age or disability.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
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Senior Data Engineer employer: Gss Rose
Contact Detail:
Gss Rose Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific AWS technologies mentioned in the job description, such as Glue jobs and Redshift. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Showcase your ability to collaborate effectively by preparing examples of past projects where you worked closely with software engineers or product teams. Highlighting your teamwork skills can set you apart in a role that emphasizes collaboration.
✨Tip Number 3
Brush up on your SQL and Python skills, especially in the context of data analytics. Being able to demonstrate your expertise in these areas during discussions can significantly enhance your candidacy.
✨Tip Number 4
If you have experience in the payments domain or with sanctions screening, make sure to mention it. This knowledge could be a valuable asset for GSS and show that you understand the industry context of the role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Highlight key responsibilities and required skills, and think about how your experience aligns with them.
Tailor Your CV: Customize your CV to emphasize relevant experience in data engineering, particularly with AWS technologies, SQL, and Python. Use specific examples that demonstrate your ability to design and build scalable data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention your experience with data engineering and how you can contribute to GSS's mission of transforming the global financial system.
Highlight Collaboration Skills: Since the role involves collaboration with various teams, be sure to include examples of past teamwork experiences. Discuss how you've worked with software engineers or product teams to achieve common goals.
How to prepare for a job interview at Gss Rose
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS technologies like Glue, Athena, and Lambda. Highlight specific projects where you've designed and built scalable data pipelines, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Demonstrate Collaboration Skills
Since the role involves working closely with Software Engineers and Product teams, be ready to share examples of how you've successfully collaborated in past projects. Emphasize your ability to communicate effectively and contribute to a team environment.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your troubleshooting and debugging skills, and be ready to walk through your thought process when solving complex data engineering problems.
✨Align with Company Values
GSS values respect, boldness, and ownership. Think about how you can embody these values in your work and share examples from your past experiences that reflect these principles. This will show that you're not just a fit for the role, but also for the company culture.
