Data Engineer II
Amsterdam
Mollie
Start growing your business with Mollie Payments: ✓ Quick setup ✓ Honest pricing ✓ All leading payment methods. Get paid now »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
You are
A team player and comfortable collaborating autonomously with multiple teams, systems and products in a dynamic environment
A problem solving mentality with strong attention to detail
Curious and always willing to learn
You have
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 have
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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow BigQuery CI/CD Dataflow Dataproc dbt Docker Engineering GCP Git Google Cloud Kubernetes Python Spark SQL Streaming Terraform
Perks/benefits: Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Research Scientist jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs