Senior Data Engineer

Datatonic
Stockholm, Gothenburg
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Problem-solving","Communication","Collaboration","Ownership","Leadership","Mentorship"]

Design and build scalable, high-performance data pipelines that power data processing, visualization, and integration into machine learning models. You’ll optimize ETL and big-data workflows using modern frameworks, partner with data scientists and ML engineers in an agile environment, and implement best-in-class solutions on Google Cloud. The role also includes managing cloud infrastructure reliability and mentoring engineers to strengthen data engineering practices.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Datatonic
Datatonic
4 days ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design and build scalable, high-performance data pipelines that power data processing, visualization, and integration into machine learning models. You’ll optimize ETL and big-data workflows using modern frameworks, partner with data scientists and ML engineers in an agile environment, and implement best-in-class solutions on Google Cloud. The role also includes managing cloud infrastructure reliability and mentoring engineers to strengthen data engineering practices.
Location: Stockholm, Gothenburg
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and optimize scalable data pipelines for visualization and machine learning use cases.
  • •Build cloud-based and big data solutions to enable efficient data processing.
  • •Collaborate with data scientists, ML engineers, and analysts to deliver data-driven solutions in an agile environment.
  • •Integrate best-in-class data solutions using Google Cloud Platform, dbt, and Looker.
  • •Architect, maintain, and troubleshoot cloud infrastructure to ensure high availability and performance, while mentoring engineers.

Pay and Benefits

Perks:Paid LeaveHealth InsuranceWellness StipendHome OfficeLearning BudgetPension

Key Requirements

  • •5+ years designing and building scalable data solutions in data engineering.
  • •Strong programming skills in Python and/or Java, with proficiency in SQL.
  • •Hands-on ETL and big data experience (e.g., Hadoop/Spark) and data processing frameworks such as Beam or Flink.
  • •Experience building tested, resilient, well-documented code with high-quality standards.
  • •Experience in cloud infrastructure (GCP or AWS is a plus) and strong problem-solving/ownership.
Experience:5+ yearsData engineeringMachine learningBig dataAIGoogle Cloud
Skills:Problem-solvingCommunicationCollaborationOwnershipLeadershipMentorship
Tech Stack:PythonJavaSQLGoogle Cloud PlatformGCPAWSDbtLookerHadoopSparkApache BeamFlinkREST APIsLinuxCommand lineETL

Company Brief

Datatonic
Datatonic is a cloud data and AI consultancy that builds data platforms, analytics, MLOps and generative AI solutions for enterprise clients, partnering closely with Google Cloud to deliver data-driven business outcomes.
Industry: Consulting
Company Size: Large (251 to 1,000 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2015
Glassdoor
Glassdoor: 4.0
WebsiteLinkedInGlassdoor