Senior Data Engineer Riga, Latvia in City of London

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions.

We are looking for a talented Senior Data Engineer to join our team in building and maintaining robust, scalable, and efficient data infrastructure. You will be responsible for designing and implementing data pipelines, optimising data systems, and ensuring high-quality data delivery across the organisation. Working closely with analytic engineers, analysts, and business stakeholders, you'll help transform raw data into valuable insights that drive business decisions. You'll sit in our Data and Business Systems group and will work with technical and non-technical people across the whole company. You'll be part of a collaborative data engineering team and will work closely with commercial and operational stakeholders to deliver data solutions that scale with our rapidly growing business.

The main elements of this role will involve:

• Building and maintaining data pipelines: Design, develop, and optimise ETL/ELT pipelines to process large volumes of data efficiently and reliably.
• Data infrastructure development: Implement and maintain scalable data architectures using cloud technologies, ensuring high availability and performance.
• Data quality and governance: Implement data quality checks, monitoring, and validation processes to ensure data accuracy and consistency across systems.
• Collaboration and delivery: Work closely with analytic engineers, analysts, and business teams to understand requirements and deliver data solutions that meet their needs.
• Technical innovation: Stay current with emerging data technologies and best practices, proposing and implementing improvements to our data infrastructure and processes.
• Documentation and knowledge sharing: Create and maintain technical documentation, share knowledge with team members, and contribute to engineering best practices.

Who we're looking for:

• Someone passionate about working with data at scale and solving complex data challenges.
• Someone who writes clean, maintainable, and efficient code with attention to detail.
• Someone who enjoys collaborating with diverse teams and can translate business requirements into technical solutions.
• Someone with strong problem-solving skills who can debug complex data issues and optimise system performance.
• Someone who takes ownership of their work and proactively identifies opportunities for improvement.
• Someone eager to learn and grow in a fast-paced fintech environment.

Requirements:

• Strong proficiency in SQL and experience with relational and NoSQL databases.
• Hands-on experience building and maintaining ETL/ELT pipelines using modern data engineering tools (e.g., Apache Airflow, Dataflow, or similar).
• Experience with cloud data platforms, particularly Google Cloud Platform (BigQuery, CloudSQL, Dataflow, Pub/Sub) or equivalent AWS/Azure services.
• Proficiency in Python or another programming language commonly used in data engineering.
• Understanding of data modelling concepts, data warehousing principles, and dimensional modelling.
• Experience with version control systems (Git) and CI/CD practices.
• Familiarity with data streaming technologies and real-time data processing is a plus.
• Knowledge of data governance, security best practices, and data privacy regulations.
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

Nice to have:

• Experience in the fintech or payments industry.
• Familiarity with infrastructure as code (Terraform, CloudFormation).
• Experience with data orchestration tools and workflow management systems.
• Knowledge of machine learning pipelines and supporting ML workflows.
• Experience with data visualisation tools and business intelligence platforms.

Salary range: EUR 64,000 - 96,000 Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

The Good Stuff!

• Wellbeing: Dedicated support and medical cover to keep you healthy.
• Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period.
• Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team.
• Equity: All permanently employed GeeCees get equity to share in our success.
• Parental leave: Tailored leave to support your life's great adventure.
• Time Off: Generous holidays, 3 volunteer days, and 4 wellness days annually.

Life at GoCardless: We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble while we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision.

Diversity & Inclusion: We’re building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences.

Sustainability at GoCardless: We’re committed to reducing our environmental impact and leaving a sustainable world for future generations.