Arbetsbeskrivning

Shaping the Future with Brilliant Minds

At Baronit, we connect brilliant minds to shape the future of technology. As a passionate team of tech experts, we lead with innovation, expertise, and curiosity to help businesses grow and adapt to new opportunities. Our experts blend technical excellence, industry insight, and a strong commitment to delivering exceptional results across sectors such as Automotive, Fintech, Healthcare, Telecom, E-commerce, and more.

We are an IT consultancy company based in Gothenburg looking for experienced Data Engineers to join our client’s team. This role involves working closely with our client’s cross-functional teams to deliver data-driven, scalable solutions using modern cloud platforms, advanced data pipelines, and cutting-edge machine learning techniques.

Here's what we’re looking for in an ideal candidate:

• Academic degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in Data Engineering or related fields.
• Design, develop, and maintain scalable data pipelines using Databricks to support data ingestion, transformation, and loading (ETL/ELT) processes.
• Manage the full lifecycle of data products, from ETL processes to deployment in production environments.
• Expertise in Python for data manipulation and analysis, including libraries like Pandas, NumPy, Scikit-Learn, SciPy and TensorFlow.
• Proven experience with Cloud Platforms such as AWS, Azure, or GCP for data engineering and storage and related data services.
• Strong understanding of ETL processes and tools like Apache Spark, Apache Kafka, Airflow, Hadoop DBT, Fivetran, Beam.
• Experience with data processing frameworks like Beam, Dataproc, Spark, Hive, Flink and BigQuery.
• Experience with CI/CD pipelines for data workflows, using tools like Jenkins, Git, Terraform, Docker, Kubernetes, Tekton and ArgoCD.
• Experience with SQL like PostgreSQL, MySQL, SQL Server and NoSQL databases for querying and data manipulation.
• Data visualization skills using tools such as Power BI, Tableau, QlikView/QlikSense, Streamlit, Grafana, Looker or Python-based visualization libraries.
• Experience in machine learning techniques and AI product development.
• Fluent in English both written and verbal, Swedish is a plus.