Senior Data Engineer

Grit Scales Ab; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

Competitive compensation

Generous annual vacation (Sweden)”},{

Job summary

Grit Scales AB is seeking a Senior Data Engineer to design, build, and maintain scalable data platforms powering analytics and data products. You will own data pipelines end-to-end, collaborate with data scientists, software engineers, and product teams to turn raw data into reliable datasets.

You will mentor junior engineers, shape data architecture, and contribute to governance, security, and best practices across data systems.

Qualifications

• 5+ years of experience in data engineering or backend engineering.
• Strong SQL skills and experience with complex data models.
• Proficiency in at least one programming language (Python).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Experience with data warehouses (Snowflake, Redshift etc.).
• Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect).
• Experience building batch and/or streaming pipelines.
• Strong understanding of data reliability and performance tuning.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimise data warehouses and data lakes.
• Ensure data quality, reliability, and performance.
• Work with stakeholders to translate business needs into data solutions
• Implement data modelling for analytics and reporting use cases
• Optimise queries, storage and compute costs.
• Implement monitoring, logging and alerting for data systems.
• Enforce data governance, security, and access controls.
• Mentor junior data engineers and review code.
• Contribute to architectural decisions and technical standards.
• Enforce data governance, security, and access controls.

Skills

SQL

Python

Data modeling

ETL/ELT

Data pipelines

Cloud platforms

Data reliability

Performance tuning

End-to-end ownership

Mentoring

Tools

Snowflake

Redshift

Airflow

Dagster

Prefect

Terraform

CloudFormation

Job description

At Grit Scales AB, we are on a mission to help our clients simplify business processes, solve complex business problems, and develop innovative products using excellent IT skills. Customer satisfaction is our main focus and we pride ourselves in having a diverse workforce.

About the Role

We’re looking for a Senior Data Engineer for one of our very important clients to design, build and maintain scalable data platforms that power analytics, reporting and data-driven products. You’ll work closely with data scientists, software developers, analysts and product teams to turn raw data into reliable, high-quality datasets. This role blends strong data engineering fundamentals with product thinking as you’ll help shape how users interact with data, not just how it’s stored. This role is hands‑on and strategic and you’ll own data pipelines end‑to‑end and help shape our data architecture and best practices.

Responsibilities

As a Senior Date Engineer, you will:

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimise data warehouses and data lakes.
• Ensure data quality, reliability, and performance.
• Work with stakeholders to translate business needs into data solutions
• Implement data modelling for analytics and reporting use cases
• Optimise queries, storage and compute costs.
• Implement monitoring, logging and alerting for data systems.
• Enforce data governance, security, and access controls.
• Mentor junior data engineers and review code.
• Contribute to architectural decisions and technical standards.
• Enforce data governance, security, and access controls.

Required Qualifications

• 5+ years of experience in data engineering or backend engineering.
• Strong SQL skills and experience with complex data models.
• Proficiency in at least one programming language (Python).
• Hands‑on experience with cloud platforms (AWS, GCP, or Azure).
• Experience with data warehouses (Snowflake, Redshift etc.).
• Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect).
• Experience building batch and/or streaming pipelines.
• Strong understanding of data reliability and performance tuning.

Nice to have

• Experience with real‑time/streaming systems (Kafka, Pub/Sub, Kinesis).
• Experience supporting machine learning pipelines.
• Infrastructure-as-Code experience (Terraform, CloudFormation).
• Experience in a high‑growth or production‑scale environment.
• Exposure to data governance, privacy, and compliance frameworks.

What Success Looks Like

• Reliable, well‑documented data tool and pipelines with minimal downtime.
• High‑quality, trusted datasets powering analytics and product decisions.
• Improved performance and reduced data processing costs.
• Junior engineers growing under your mentorship.
• Data architecture that scales with business growth.

Join us if you want

• An opportunity to work on exciting IT assignments/ Projects with world‑class organizations.
• Increase and Improve your work experience by working with great tools and on international projects.
• Professional skills development and hands‑on experience with friendly colleagues.
• Competitive compensation.
• Generous annual vacation in line with Swedish laws.
• Opportunity for self‑development via paid certifications.