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Technical Lead in Data Engineering
2 weeks ago
Driving Innovation with Data-Driven Solutions
About UsWe are dedicated to making technology more sustainable and environmentally responsible. Our mission is to empower organizations to integrate environmental responsibility into their business operations.
Based in Sweden, we operate across eight European countries and serve customers worldwide. Our growth has been driven by strategic acquisitions, with an annual turnover of SEK 7.4 billion in 2023.
Nordic Capital became a majority owner in 2023 to support our growth journey. Our strategy includes securing the right leadership to scale operations globally, both organically and through acquisitions.
Learn how we can transform your organization with circular IT solutions at www.foxway.com.
Career Opportunities for a Senior Data EngineerAbout the Job- We design and implement data models that bring together disparate data across the organization to provide a comprehensive view of our data.
- We build high-load structures and architectures for data systems.
- We work closely with product managers and business stakeholders to develop new ideas and solutions for producing high-quality data at scale.
- We define data models that bring together disparate data across the organization to provide a comprehensive view of our data.
What We Expect from You?
- You have 5+ years of experience in data engineering, lakehouses, and scripting.
- Experience working with cloud platforms such as AWS, GPC, or Azure is essential.
- Strong understanding of data warehouse and data lake structures is necessary.
- Proficiency in SQL, Python or Scala is required.
- You should have experience with asynchronous programming and data processing at scale.
- Experience using dbt for data transformation is beneficial.
- Strong analytical and problem-solving abilities are essential.
- Effective communication skills are crucial.
- You should have experience operating and maintaining production-grade software.
- Familiarity with containerization technologies such as Docker, and streaming solutions such as Kafka, Spark, or similar is beneficial.
- Knowledge of orchestration platforms such as Airflow, Prefect, or similar is desirable.
