Data Engineer Data Catalog - 20738

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Job Overview

Role Summary

Our client is seeking a Data Engineer with a focus on data catalog capabilities. This consulting assignment is central to the development and governance of metadata, data lineage, data quality, and automation within a modern data and cloud platform.

The role involves onboarding metadata from multiple source systems into the data catalog, maintaining traceability from source to consumption, and supporting data quality initiatives. You will work closely with Data Engineers, DevOps specialists, Data Stewards, architects, and business stakeholders to ensure that technical data assets are accurately documented and connected to relevant business concepts.

Key Responsibilities

Onboard metadata from databases, reporting tools, data pipelines, APIs, and other source systems into the data catalog.

Ensure that tables, columns, reports, APIs, and related technical assets are described accurately and consistently.

Create, maintain, and improve end-to-end data lineage from source systems through transformation pipelines to downstream consumption.

Support the implementation of data quality rules and expose data quality results through the catalog.

Develop scripts and supporting tools to automate metadata ingestion and catalog-related workflows.

Integrate automation into established CI/CD pipelines.

Collaborate with Data Stewards to map technical data objects to business terms and definitions.

Work cross-functionally with engineering, DevOps, architecture, governance, and business teams.

Technical Stack & Requirements

SQL: Advanced proficiency is required.

Scripting: Experience with Python or another scripting language is preferred.

Data engineering: Practical experience with ETL/ELT processes and data pipelines.

DevOps: Experience using Git and integrating solutions into CI/CD workflows.

Data catalogs: Experience with Alation, Collibra, Microsoft Purview, or AB Initio is advantageous.

Data governance capabilities: Experience with metadata management, data lineage, and data quality frameworks is advantageous.

Platforms: Experience working with modern data and cloud platforms is beneficial.

Qualifications & Experience

You should have several years of experience as a Data Engineer, BI Developer, or in a comparable data-focused role. The assignment requires a strong interest in metadata, structured information, and data traceability. Experience from a regulated organization-particularly banking, financial services, or insurance-is advantageous. Professional fluency in both Swedish and English is required.