Senior Data Engineer - 10196

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Data Engineer to join our dynamic team.

What You Will Work On:

• Take end-to-end responsibility for building, optimizing, and supporting both existing and new data products, aligning with the defined target vision.
• Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and cloud infrastructure, with a focus on Google Cloud Platform (GCP).
• Ensure that data products operate as independent deployment units, adhering to standards for security, scalability, observability, and performance.
• Collaborate closely with Product Owners and other stakeholders to define the vision for data products and identify new opportunities to meet customer needs.
• Work with product teams across the organization on data mesh concepts and related initiatives.
• Evaluate and implement continuous improvements, driving down technical debt within the teams.
• Maintain expertise in the latest data, analytics, and cloud technologies to ensure our solutions remain cutting-edge.

What You Bring:

• 4+ years of experience in roles such as Data Engineer on GCP or modern cloud data platforms, or as a Software Engineer with cloud technologies and infrastructure.
• Expertise in GCP tools such as Dataflow, Dataproc, and BigQuery.
• Proficiency in working with various data formats, including Parquet and Avro.
• Strong skills in data query languages like SQL or similar.
• Experience in data-centric programming using one or more languages (Python, Java, Scala).
• Good understanding of different data modeling techniques and their trade-offs.
• Knowledge of NoSQL and RDBMS databases.
• A collaborative, co-creative mindset with excellent communication skills.
• Motivation to work independently, with the ability to make decisions autonomously.
• Experience working with data visualization tools.
• Fluency in English, both written and verbal.

Advantageous Qualifications:

• Experience with data processing frameworks such as Beam, Spark, Hive, or Flink.
• Business understanding of the retail industry.