Senior Data Engineer

Stockholm, SE (on-site); Sweden; On-site; SEK 65 000 - 85 000; Full time

Job summary

A leading technology firm in Sweden is seeking a Senior Data Engineer to design, build, and optimize high-quality data products. Ideal candidates should have over 6 years of experience in data engineering, including hands-on experience with GCP. The role involves collaboration with product teams and requires a passion for data and technology. Fluent English is essential.

Qualifications

• 6+ years in data engineering, including 4+ years hands-on with GCP.
• Fluent in English (written and spoken).
• Collaborative, communicative, and self-driven mindset.

Responsibilities

• Build and optimize data products aligned with defined target architecture.
• Manage CI/CD pipelines and infrastructure automation using Terraform.
• Collaborate with Product Managers to define product vision.

Skills

Data Engineering expertise

GCP services proficiency

SQL skills

Programming knowledge (Python, Java, Scala)

Collaboration skills

Problem-solving skills

Education

GCP certification

Tools

BigQuery

Terraform

Job description

We are embarking on one of the largest data transformation journeys and are seeking a Senior Data Engineer to join our AI, Analytics & Data Domain. You will be part of the Data Engineering Competence Area, contributing as an individual contributor within a data product team. The mission is to design, build, and optimize high-quality data products aligned with our target vision, supporting global brands with accessible, structured, and reliable data.

This role is ideal for someone passionate about data, eager to work with cutting-edge cloud technologies, and motivated by the challenge of creating impactful, data-driven solutions.

Key Responsibilities

• Build, optimize, and support new and existing data products in line with defined target architecture and vision.
• Apply DevOps principles, managing CI/CD pipelines, infrastructure automation (Terraform), and Google Cloud Platform (GCP) services.
• Ensure data products are independently deployable and meet standards for security, scalability, observability, and performance.
• Collaborate with Product Managers and stakeholders to define product vision and identify opportunities for new data solutions.
• Work across product teams to implement Data Mesh concepts, enabling decentralized and scalable data ownership.
• Drive continuous improvement and reduce technical debt within the team.
• Stay up to date with the latest advancements in data engineering, cloud technologies, and analytics.

Qualifications & Skills

• Experience: Senior/Expert level with 6+ years in data engineering, including 4+ years hands-on with GCP or other modern cloud data platforms.
• Technical expertise:
• Strong proficiency in GCP services (BigQuery, Cloud Functions, Pub/Sub, etc.)
• Knowledge of data formats (Parquet, Avro)
• Strong skills in SQL and at least one programming language (Python, Java, or Scala)
• Understanding of data modeling techniques and trade-offs
• Familiarity with NoSQL and RDBMS databases
• Experience with data visualization tools
• Mindset & qualities:
• Collaborative, communicative, and self-driven
• Strong problem-solving and decision-making skills
• Passion for data, people, and technology
• Language: Fluent in English (written and spoken)
• Certification: GCP certification required (to be obtained within 1 month of start, if not already certified).
• Nice to have: Business understanding of the retail industry.