Data Engineer
Role details
Job location
Tech stack
Job description
We are seeking a Data Analyst + Data Engineer to drive end-to-end data pipeline delivery acrossIHUB/DataCore platforms.This hybrid role requires hands-on expertise in data analysis, SQL engineering, pipeline orchestration and data governance, ensuring high-quality, reliable data delivery to business consumers.Key Responsibilities- Gather and translate business requirements into scalable data solutions- Perform detailed data profiling (mandatory): analyze schema, nulls, distributions, volume trends,inconsistencies, and file structures across sources (CSV/XLS/JSON, APIs, DBs)- Profile and analyze source data (CSV/XLS/JSON, APIs, DBs), source types (SharePoint, SFTP, API, DB)- Design, build, and configure IHUB data pipelines end-to-end- Develop SQL-based transformations (staging, marts, incremental loads)- Implement data quality rules and governance controls (DQ, lineage, classification)- Configure data ingestion into Snowflake (COPY INTO, Snow pipe, stages)- Support deployment, testing, and business acceptance- Monitor pipelines, manage SLAs, and handle production incidents- Collaborate with stakeholders and provide clear delivery updates Required Skills- Years of experience: 9+ Years- Strong SQL expertise (advanced transformations, MERGE, performance tuning)- Hands-on experience with Snowflake- Exposure to data pipeline orchestration tools (IHUB or similar)- Experience with AWS services: S3, Lambda, EventBridge, IAM- Good understanding of data quality & governance tools (e.G., Collibra, Immuta, Atacama -preferred)- Proficiency in Python (intermediate level)- Experience handling structured file formats (CSV, XLS, JSON, Parquet) Preferred- Experience in end-to-end data delivery ownership- Familiarity with data governance and lineage practices- Data modelling skills- Strong stakeholder communication and documentation skills Salary Range: €*****K gross/year
Requirements
Years of experience: 9+ Years
- Strong SQL expertise (advanced transformations, MERGE, performance tuning)
- Hands-on experience with Snowflake
- Exposure to data pipeline orchestration tools (IHUB or similar)
- Experience with AWS services: S3, Lambda, EventBridge, IAM
- Good understanding of data quality & governance tools (e.G., Collibra, Immuta, Atacama -preferred)
- Proficiency in Python (intermediate level)
- Experience handling structured file formats (CSV, XLS, JSON, Parquet) Preferred
- Experience in end-to-end data delivery ownership
- Familiarity with data governance and lineage practices
- Data modelling skills
- Strong stakeholder communication and documentation skills Salary Range: €*****K gross/year