Data Steward

Corecom Consulting; Randstad; Hybrid; EUR 90,000 - 95,000; Full time

Benefits offered by this job

25 days paid leave

Pension

Expenses

Job summary

Corecom Consulting is seeking an experienced Data Engineer / Data Steward to join a large-scale data and analytics environment in the Netherlands. The role focuses on data quality, governance and reliability across customer-focused data products, with hands-on work on pipelines and governance processes.

The position is a 6-month assignment in Randstad with hybrid working. Compensation is €90-95k per year, plus benefits such as pension and expenses; the payroll is interim payroll (no ZZP).

Qualifications

• Production-grade code in a cloud environment (GCP preferred).
• Strong SQL with data modeling and transformation.
• Hands-on with BigQuery and PySpark/Databricks.
• Experience with data quality, governance and dbt tests.

Responsibilities

• Build and maintain ingestion and transformation pipelines using SQL and Python.
• Develop data quality rules, tests and dashboards with dbt and Elementary.
• Investigate data quality issues, perform root-cause analysis and drive fixes.
• Define business definitions, harmonization rules and metadata.
• Review data models, contracts and mappings against governance standards.
• Support governance frameworks and best practices; improve data product usability.

Skills

Data Engineering

Data Governance

DataQuality

SQL

Python

dbt

BigQuery

GCP

PySpark

Databricks

Data Modeling

Metadata

Data Stewardship

Tools

dbt

Looker

Data Studio

Power BI

BigQuery

Databricks

PySpark

Job description

We're looking for an experienced Data Engineer / Data Steward to join a large-scale data and analytics environment, working on customer-focused data products and helping improve data quality, governance and reliability.

This is a varied role sitting across Data Engineering, Analytics Engineering and Data Governance. You'll work hands-on with data pipelines and transformation, while also helping define data quality standards, metadata, business definitions and governance processes.

We're open to candidates with a broad skill set, as well as strong specialists who have deep expertise in one of these areas and a solid understanding of the others.

Key Responsibilities

• Build, improve and maintain data ingestion and transformation pipelines using SQL and Python
• Develop and maintain data quality rules, tests and dashboards using dbt and Elementary
• Investigate data quality issues, perform root-cause analysis and drive corrective actions
• Define and maintain business definitions, harmonization rules and metadata
• Review data models, data contracts and data mappings against governance standards
• Support the development and adoption of data governance frameworks and best practices
• Improve the reliability, discoverability and usability of data products
• Present data quality and governance insights to technical and business stakeholders
• Work closely with Data Engineers, Data Stewards, Product Owners and Software Engineers
• Support ad-hoc data analysis and problem-solving when required

Required Experience

• Experience writing production-grade code within a cloud environment – GCP preferred
• Strong SQL skills with experience in data modeling and transformation
• Hands-on experience with BigQuery and/or PySpark/Databricks
• Experience with dbt, particularly data modeling and data quality testing
• Understanding of data quality frameworks, including defining rules, writing tests and investigating failures
• Good understanding of data models, databases, data warehouses and data flows
• Experience working with customer data such as profiles, transactions, purchases or interaction events is highly desirable
• Data visualization using Looker/Data Studio or Power BI
• Knowledge of data governance frameworks
• Experience with metadata management and data cataloguing
• Experience working with data contracts and data mappings
• Experience operating within large or complex data environments

Soft Skills

• Strong communication skills with the ability to work across technical and non-technical teams
• Comfortable presenting data, quality and governance findings to stakeholders
• Strong problem-solving and analytical skills
• Able to translate business requirements into data products, quality rules and governance standards
• Proactive and comfortable working in an environment where processes and solutions are still being developed
• Willingness to take ownership and drive initiatives forward

Key Skills

• Data Engineering
• Data Governance
• DataQuality
• SQL
• Python
• dbt
• BigQuery
• GCP
• PySpark
• Databricks
• Data Modeling
• Metadata
• Data Stewardship

Details:

• 6 month assignment - intention to extend
• Randstad - hybrid
• This is a secondment / interim payroll contract (No ZZP)
• €90-95k per year / 75-80 per hour
• Including 25 days paid leave a year, Pension and expenses

Interested?

If you're a Data Engineer, Analytics Engineer or Data Steward with strong SQL and data engineering experience and an interest in data quality and governance, we'd be keen to hear from you right away