Data Engineer/Senior Data Engineer

We’re now looking for a great Data Engineer to strengthen our growing Engineering Team who is interested in working with state-of-the-art data technologies and frameworks, enabling informed decision-making and having a big impact on your everyday work. As we’re growing internationally our amount of data will grow even more and you will be an integral part of a company set out to make our customers more data-driven and enjoy work even more.

What you'll be doing

· Developing and optimizing our data pipelines, data collection, ETL processes and data warehouse.

· Work closely with product managers, analysts, other software engineers, DevOps, and stakeholders across the business, to build solutions and data sets to enable new insights and help them discover new opportunities.

· Scaling new systems and platforms as we grow to enable data as a product.

· Take ownership and responsibility for the quality of our data with consideration of efficiency and performance.

· Being an integral part of enabling insights to our customers and users.

· Use state-of-the-art data processing frameworks, technologies and platforms to help the team achieve success.

· Play around data services using major cloud providers.

You should have:

· Exp. in data engineering or in business intelligence/advanced analytics environments, including building data platforms on Hadoop and Spark

· Proficiency in at least Python, bash and SQL, and experience in a range of data management technologies, such as NoSQL and distributed systems. Knowledge of Java or Scala is a plus.

· Experience with designing and architecting cloud-based data solutions (Azure, AWS or GCP)

· Solid software architecture skills, keen to leverage patterns to write code that is resilient, scalable, and maintainable

Good to have Microsoft specific cloud services

· Designing and developing data pipelines within Azure Data Factory

· Code advanced data processing solutions within Azure Databricks

· Conceptualizing and implementing solutions within Azure Synapse, Azure SQL and Azure Data Lake

· Development/code management using Azure DevOps

· Working close with Business Analysts and Data Analysts to understand the requirements for the end product and suggest optimal data models backend/frontend for optimal performance

· Collaborating with platform teams, data engineers in core systems as well as data scientists for advanced analytics use cases.