2 months ago
Gothenburg, Sweden or Stockholm, SwedenSenior
Responsibilities
- Design, develop, and optimize scalable data pipelines for visualization and machine learning applications.
- Architect, maintain, and troubleshoot cloud-based infrastructure for high availability and performance.
- Use Google Cloud Platform, dbt, Looker, and big-data processing tools to deliver data solutions.
- Collaborate with data scientists, ML engineers, and analysts on data-driven solutions.
- Write tested, resilient, and well-documented code.
- Lead projects from concept to completion and promote data engineering best practices.
- Provide guidance, mentorship, and line management to engineers.
Requirements
- Expertise in Python and/or Java and proficiency in SQL.
- At least 5 years of experience designing and building scalable data solutions.
- Hands-on experience with ETL tools, Hadoop-based technologies such as Spark, and processing frameworks such as Beam or Flink.
- Experience building and maintaining cloud infrastructure, preferably with GCP or AWS.
- Strong ownership, problem-solving, communication, and collaboration skills.
- Experience with line management and mentoring engineers.
- Preferred qualifications include startup or scale-up experience, Linux scripting, scalable API development, machine learning or data analytics knowledge, client-facing experience, and open-source contributions.
Benefits
- 30 days of holiday plus bank holidays.
- Healthcare allowance available after probation.
- Wellness allowance payable upon receipt of invoice.
- Hybrid work model with work-from-home equipment support after probation.
- Access to learning platforms such as Udemy.
- Private salary-sacrifice pension available.
Tech Stack
Apache BeamApache FlinkApache HadoopApache SparkAWSdbtGoogle CloudGoogle Cloud PlatformJavaLinuxPythonSQL
Categories
Data Engineering
About Datatonic
Datatonic is a London‑headquartered, privately held data and AI consultancy founded in 2013 that designs and implements cloud analytics, machine learning, and generative AI solutions, with a strong focus on Google Cloud. It delivers data platform engineering, MLOps, and BI projects for enterprises in telecommunications, media and entertainment, and financial services and insurance.