Jta: The Data Scientists
Portugal
Data Engineer
- AI
- Devops
- Docker
- GIT
AI Summary
Join a leading European logistics group’s BI Platform team to design and improve data quality controls for Sales and Finance data products. Focus on automated testing, anomaly detection, and embedding quality checks in data pipelines. Requires expertise in data engineering, SQL, cloud platforms (e.g., Snowflake), and Python, with experience in data governance and financial processes.
Key Highlights
Design and automate data quality controls for Sales & Finance data across 40+ countries
Experience with Snowflake, dbt, Python, and AI tools for data profiling
Collaborate with data owners and engineering teams to embed quality checks in pipelines
Key Responsibilities
Design and improve data quality controls for Sales & Finance data
Translate business rules into automated tests and monitoring systems
Build dashboards, scorecards, and service-level indicators for data quality
Analyze anomalies and coordinate remediation with stakeholders
Embed automated quality checks into data pipelines
Define data quality standards and governance frameworks
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Technical Skills Required
Benefits & Perks
100% remote work opportunities
Tech Visa sponsorship for non-EU candidates
Health and Life Insurance
International career growth and global projects
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Nice to Have
German or another European language
Experience with AI tools for data profiling and anomaly detection
Job Description
About The Project
Join the BI Platform team of a leading European parcel and logistics group, present in around 40 countries. The team builds the data foundation for decision-making across the group. You’ll help make sales and financial performance measurable end to end, from leads and new customers to parcel volumes, pricing, revenue, costs and profitability.
What You’ll Do
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