Senior Data Engineer - Analytics Focus
Stockholm, Sweden
Trustly
Trustly, as a simple and fast online banking payments solution, enables consumers and merchants to carry out in and out payments using their bank account.We’re looking for a Senior Data/Analytics Engineer to bridge the gap between building robust data infrastructure and delivering meaningful insights to the business.
About the Data domain
The Data domain’s mission is to transform Trustly into a truly data-driven organization. We are responsible for every aspect of the data journey, from collection & modeling to analysis and visualization. We provide the whole organization with data and analytics artifacts aiming to improve our decisions, operations and the customer’s experience.
We are currently building a new Data Platform on AWS.
About the role
As Trustly is currently moving towards micro-services we have identified the need of a new data platform, a data hub to cater for operational data needs.
Together with the Data Platform team, you will actively participate in the implementation and the maintenance for this new data platform based on AWS. The goal is to design and build a strong and reliable data foundation that will initially support operational data exchanges and will gradually support our analytics and machine learning use cases.
What you’ll do
- Design and develop Trustly’s Data Platform on AWS
- Build and maintain batch and streaming data pipelines from internal as well as external data producers
- Work with transformations of data from one or multiple source systems to feed our downstream applications
- Optimize data processes for efficiency and scalabilityImplement data security measures and access controls to protect sensitive information
- Participate in data governance and compliance efforts to meet regulatory requirements
- Provide technical expertise and guidance for critical data projects
- Continuously optimize data architecture to support Trustly's evolving data needs
- Help us identify new use-cases for our data and collaborate with stakeholders from the rest of the organization on how to realize those
Who you are
- A Master's degree in Computer Science, Engineering or similar field
- At least 7 years of experience as a data engineer/data architect
- Proficient in designing and building complex data pipelines and data processing systems
- Experienced with SQL/NoSQL databases (PostgreSQL, Redshift, MongoDB)
- Proficient in building stream processing systems using Kafka
- Accustomed of data governance principles, ensuring data quality, security, and compliance
- Experienced with cloud platforms such as AWS or GCP
- Proficient in Python, SQL, dbt, Airflow, Airbyte, S3, Hudi, Athena, Kubernetes and CI/CD process
- Familiar with self-service reporting and machine learning use cases and their prerequisites in terms of data infrastructure
- Thrive in a fast growing company
Our Fantastic Benefits🌴 20 to 30 days of holiday (depending on location) to support a healthy work-life balance🥳 Monthly team outing allowance to enjoy social events with your colleagues👶 Parental leave top-up additional support for new parents🥐 Daily breakfast and on-site perks to make your workday smoother💚 Well being support our health allowance covers gym memberships, massages, and much more to help you feel your bestPLUS additional benefits designed to enhance your work-life experience!
Shape Your Role and Make an ImpactJoin a dynamic environment where you can take ownership, drive change, and continuously embrace new challenges. We’re looking for dedicated and highly motivated individuals who thrive in a fast-paced environment and enjoy collaborating across different areas of the organisation.If your skills and experience align with this role, we’d love to hear from you! Apply now and submit your CV in English.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Athena AWS CI/CD Computer Science Data governance Data pipelines Data quality dbt Engineering GCP Kafka Kubernetes Machine Learning MongoDB NoSQL Pipelines PostgreSQL Python Redshift Security SQL Streaming
Perks/benefits: Career development Fitness / gym Health care Parental leave Team events
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