Senior Data Engineer

We are looking for a difference maker, someone who is ready to help us achieve new heights, and has a passion for creating, designing, and developing, and someone who wants to work with a dynamic team that is talented and collaborative.
If you believe life is about aiming high and making an impact like us at Talent Konnect AB, where we work together, share common values and help each other grow and achieve goals then keep reading!


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 with data services using major cloud providers.
● Work with different market-leading customers.

You should have
● More than 5 years of experience in the software industry and at least 3 years of experience in data engineering services(big data), data management, programming and advanced analytics environments, including building data platforms on On-prem and Cloud.
● 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.
Please reach out to the mentioned HR manager via email if you have any questions about the role.