Data Engineer II

We are looking for a Data Engineer with a passion for data to join our team of data experts and help continue building Mollie’s data platform.

Within Mollie we are on a mission to make the company more data informed. We value trustworthy and high quality data to fuel our product development and enable teams to make better decisions. By joining our team you’ll be contributing to this mission by developing tools and infrastructure within our central data platform. 

Your opportunity

As a data engineer you’ll join the team that is responsible for building reliable data collection, processing and storage solutions. The data platform team supports and enables other teams within the organisation through internal tools and infrastructure. You will design, implement and operate data products to move, transform and expose data to enable data driven decision making and analytical capabilities throughout the organisation. You will do this by making sure products are built with engineering practices in mind, like scalability, reusability and reliability.

In your role you will collaborate with data professionals as well as other engineers and stakeholders from various parts of the business. Together you will work on tools and products, as well as advocate good data practices.

What you’ll be doing

• You will be part of a small team focused on solving clearly defined problem spaces 

• Build and maintain services and capabilities within our data platform to enable other teams

• Create reliable and scalable data collection processes (i.e. streaming events and CDC-based), with attention to performance and cost

• Share learnings, best practices and knowledge in order to promote business-wide data literacy

• Collaborate with stakeholders to identify new opportunities, define requirements and deliver solutions

• Define and document standards and policies in our data platform on subjects like CI/CD, governance and data processing.

• Ensure our data is managed and secured in accordance with organisational policies

Technologies you’ll be working with

• Google Cloud Platform (BigQuery, Pub/Sub, Dataflow, Dataproc)

• Python

• dbt

• Apache Airflow

• Terraform

What you'll bring

• A team player mindset and you are comfortable collaborating autonomously with multiple teams, systems and products in a dynamic environment

• A problem solving mentality with strong attention to detail

• 2-5 years of industry relevant experience in data

• Experience working with data transformation tools, e.g. dbt, Dataform

• Experience with data modelling and data modelling techniques

• Experience working in a cloud environment, GCP is highly preferred

• Experience in a programming language (we use Python), proficient in SQL

• A good understanding of data storage concepts like relational stores, columnar stores, partitioning, indexing

• Experience with containerization and runtime environments (i.e. docker)

• Good understanding of software development practices, including CI/CD, Git, Infrastructure as Code (Terraform)

• Excellent written and verbal communication skills (English)

Nice to haves

• Experience managing and scaling large data models in dbt  - e.g. complex dependencies, multiple contributors, multiple dbt projects

• Experience with data pipeline and workflow management tools such as Airflow

• Experience on event based and/or distributed computing applications, i.e. Pub/Sub, Spark, Beam

• Experience working with containerised applications at scale (i.e Kubernetes)