Data Engineer New Lisbon, Portugal Lisboa

The Role

We are looking for a talented 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
- 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
- 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.
• Be a reflection of the GC Values that help us work with one another effectively

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
  - solving skills who can debug complex data issues and optimize system performance.
• Someone who takes ownership of their work and proactively identifies opportunities for improvement.
• Someone eager to learn and grow in a
  - paced fintech environment.

Requirements

• Strong proficiency in SQL and experience with relational and No
  SQL 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 (Big
  Query, Cloud
  SQL, Dataflow, Pub/Sub) or equivalent AWS/Azure services.
• Proficiency in Python or another programming language commonly used in data engineering.
• Understanding of data modeling concepts, data warehousing principles, and dimensional modeling.
• Experience with version control systems (Git) and CI/CD practices.
• Familiarity with data streaming technologies and
  - 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
  - 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, Cloud
  Formation).
• Experience with data orchestration tools and workflow management systems.
• Knowledge of machine learning pipelines and supporting ML workflows.
• Experience with data visualization tools and business intelligence platforms.

Salary range: EUR 32, 000 - 48, 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
- 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 Go
Cardless 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
  - office days determined by your team.
• Equity: All permanently employed Go
  Cardless employees 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 Go
Cardless

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 with urgency and personal accountability. We act with integrity, always. We care deeply about what we do and be humble whilst we do it. Our values guide how we work and the impact we deliver.

Diversity & Inclusion

We’re building the payment network of the future and value a diverse team with a range of perspectives. We publish our employee demographics and progress in our reports. Our Employee Resource Groups and latest D&I report offer more details on our initiatives and goals.