Data Engineer Scala/Spark

At DAC.digital, we are continuously expanding our business and strengthening our position in the market. As part of our growth strategy, we are launching a strategic partnership with one of the world’s leading providers of financial market infrastructure.

Key information:

• 27 000 – 32 000 PLN net/month – pure B2B contract
• 23 500 –28 000 PLN net/month – B2B contract (days off included)

It is vital that you have:

• strong experience with Scala and Apache Spark for designing and developing distributed data processing solutions;
• hands-on experience with Databricks and Zeppelin Notebooks in data engineering and analytics projects;
• proficiency in leveraging Google Cloud Platform (GCP) services for scalable cloud-based data solutions;
• advanced SQL knowledge for complex querying, data modeling, and performance tuning;
• experience in building, scheduling, and monitoring ETL pipelines using Apache Airflow;
• practical knowledge of Jira and Confluence for agile delivery, project tracking, and documentation management;
• knowledge of English (min. B2);
• proven leadership experience in technical teams;
• experience managing stakeholders and aligning technical solutions with business needs;
• strong communication, collaboration, and presentation skills;
• working in agile methodologies (Scrum, Kanban);
• high communication skills;
• eager to learn and share knowledge.

Nice to have:

• Oracle
• Informatica (just to analyse the current System and Workflows, you don’t need to develop any new pipelines)
• Scala
• Spark
• GCP
• SQL
• Databricks
• Airflow
• Jira
• Confluence

You will be responsible for supporting our team in:

• designing, developing, and maintaining scalable data processing solutions using Scala and Apache Spark;
• building and optimizing data pipelines and ETL workflows in cloud-based environments on Google Cloud Platform (GCP);
• developing and maintaining data engineering solutions using Databricks and Zeppelin Notebooks;
• writing, optimizing, and troubleshooting complex SQL queries to support business and analytical requirements;
• orchestrating, scheduling, and monitoring data workflows using Apache Airflow;
• ensuring data quality, reliability, and performance across data platforms and processing pipelines;
• collaborating with cross-functional teams to gather requirements and deliver data-driven solutions;
• participating in code reviews, testing, and continuous improvement of data engineering best practices;
• documenting technical solutions and project deliverables in Confluence;
• supporting agile delivery processes through effective use of Jira for task management and collaboration.

What do we offer:

• possibility to work 100% remotely or on-site at our office in Gdańsk;