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Analytics Engineer(m/w/x)
Building data products in a Data Mesh environment for mobility tech. Expert SQL and Python skills required. Flexible working, LinkedIn Learning, and sabbatical options.
Requirements
- Curiosity and attention to detail
- Experience in data-driven analytics environment, preferably in tech product organizations
- Expert SQL (especially SparkSQL) and data pipeline building
- Good knowledge of at least one programming language (Python core), willingness to learn
- Exceptional analytical skills, lateral thinking, problem-solving experience
- Experience with data visualization tools (Tableau, Qlikview) and event tracking (Mixpanel, Google Analytics)
- Excellent English communication skills
- Helpful hands-on experience with AWS, Hive, Spark, Trino, Databricks, Airflow
Tasks
- Collaborate with stakeholders to develop data products
- Improve existing data products in a Data Mesh environment
- Engage with data analysts, scientists, and engineers to gather requirements
- Define deliverables to meet business needs
- Work with developers to create and capture business-aligned data
- Ensure data quality, availability, and trustworthiness
- Apply data quality checks and data contracts
- Analyze data to troubleshoot and resolve issues
- Design and maintain the source of truth for KPIs
- Empower strategic decisions across domains
- Create a self-service data environment
- Ensure data accessibility for all users
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- SparkSQL
- Python
- Tableau
- Qlikview
- Mixpanel
- Google Analytics
- AWS
- Hive
- Spark
- Trino
- Databricks
- Airflow
Benefits
Flexible Working
- Flexible working arrangements
Learning & Development
- LinkedIn Learning
Workation & Sabbatical
- Sabbatical and special leave policies
Corporate Discounts
- WeRoad partnership
More Vacation Days
- Birthday off
- 24th December off
- 31st December off
Other Benefits
- Short-term EU work policy
- Mobility Credit
Healthcare & Fitness
- Health insurance
Mental Health Support
- Employee assistance program
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Analytics Engineer(m/w/x)
Building data products in a Data Mesh environment for mobility tech. Expert SQL and Python skills required. Flexible working, LinkedIn Learning, and sabbatical options.
Requirements
- Curiosity and attention to detail
- Experience in data-driven analytics environment, preferably in tech product organizations
- Expert SQL (especially SparkSQL) and data pipeline building
- Good knowledge of at least one programming language (Python core), willingness to learn
- Exceptional analytical skills, lateral thinking, problem-solving experience
- Experience with data visualization tools (Tableau, Qlikview) and event tracking (Mixpanel, Google Analytics)
- Excellent English communication skills
- Helpful hands-on experience with AWS, Hive, Spark, Trino, Databricks, Airflow
Tasks
- Collaborate with stakeholders to develop data products
- Improve existing data products in a Data Mesh environment
- Engage with data analysts, scientists, and engineers to gather requirements
- Define deliverables to meet business needs
- Work with developers to create and capture business-aligned data
- Ensure data quality, availability, and trustworthiness
- Apply data quality checks and data contracts
- Analyze data to troubleshoot and resolve issues
- Design and maintain the source of truth for KPIs
- Empower strategic decisions across domains
- Create a self-service data environment
- Ensure data accessibility for all users
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- SparkSQL
- Python
- Tableau
- Qlikview
- Mixpanel
- Google Analytics
- AWS
- Hive
- Spark
- Trino
- Databricks
- Airflow
Benefits
Flexible Working
- Flexible working arrangements
Learning & Development
- LinkedIn Learning
Workation & Sabbatical
- Sabbatical and special leave policies
Corporate Discounts
- WeRoad partnership
More Vacation Days
- Birthday off
- 24th December off
- 31st December off
Other Benefits
- Short-term EU work policy
- Mobility Credit
Healthcare & Fitness
- Health insurance
Mental Health Support
- Employee assistance program
About the Company
FREENOW
Industry
Transportation
Description
The company empowers smarter mobility decisions, helping people to move freely and cities to thrive.
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