Senior Data Engineer

GSS UK Services Limited
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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):

  1. Lead the design, development and enhancement of our data pipelines to support use cases such as reporting, data extraction/export etc.
  2. Own the delivery of your code from design all the way to production.
  3. Collaborate with Software Engineers to develop the GSS platform.
  4. Collaborate with the Product team to provide expert Data Engineering advice and recommendations.
  5. Collaborate across the wider Technology teams (Architecture, Security) to ensure code adheres to the architecture designs and security standards (i.e. vulnerabilities).
  6. Ensure code always meets the required engineering GSS standards.
  7. Support the GSS Engineering Lead driving the strategic direction of the Software Engineering department.
  8. Support and mentor Data Engineering colleagues.

What you’ll need

Required:

  1. Experience designing and building high throughput, scalable, resilient and secure data pipelines.
  2. Experience with the following AWS technologies: Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose.
  3. Expert knowledge of SQL.
  4. Hands-on experience with Kafka.
  5. Hands-on experience with Terraform.
  6. Hands-on experience of Python with a Data Analytics programming paradigm.
  7. Experience building CI/CD pipelines.
  8. Exceptional troubleshooting and debugging skills.

Good to have:

  1. Experience with design and implementation of integration solutions for event/data streaming.
  2. Experience working with Apache Superset.
  3. Start-up experience.
  4. Exposure to Payments domain – ideally sanctions screening.

What You Get in Return:

  1. Impactful Work:Be part of a growing startup where your contributions make a real difference.
  2. Generous Leave:Enjoy 30 days of holiday (plus bank holidays).
  3. Comprehensive Benefits:Including a generous pension scheme, private medical insurance, and life assurance.
  4. Wellbeing Perks:Access to EAP, YuLife, holistic wellbeing programs, and a Virtual GP for your health and happiness.
  5. Flexibility:Hybrid working environment with the option to work remotely for up to 4 weeks a year.
  6. 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.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.