Azure Data Lake Engineer

Azure Data Lake Engineer

REMOTE

6+ Months

$60 - $65/Hour on W2 (All inclusive) - Applicants must be willing to work on W2

Azure Data Lake Engineer 8+ years of experience required

Data Feed Review & Optimization

• Assess existing MDL data tables and create a structured inventory.

• Conduct data feed reviews with the MDL community.

• Improve data structures, performance, and documentation.

New Data Feed Engineering

• Support the identification of relevant Marketing & non Marketing data products.

• Implement and test new data feeds; ensure quality and consistency.

• Align with data stakeholders and support enablement.

Automation & Data Quality

• Replace manual uploads with automated pipelines.

• Develop concepts and PoCs for data quality checks (top 20 tables).

• Execute in depth quality reviews and implement corrective actions.

Documentation, Lineage & Governance

• Document lineage, transformations, and table-level metadata.

• Set up data dictionaries, PII-handling concepts, and taxonomy standards.

• Contribute to ER model development and artefact standardization.

Community Support & Enablement

• Coordinate across the MDL community.

• Support access requests, platform education, and use-case repository updates.

Required Qualifications

• Strong data engineering background (3–5+ years).

• Proficiency with Azure data lake, SQL, Databricks, and modern data pipelines.

• Experience with data lineage, metadata, documentation, and data quality frameworks.

• Ability to structure complex datasets and communicate with cross-functional teams.

Preferred Qualifications

• Experience with SAP Data Lake, SAP Datasphere, BDC, or Collibra.

• Background in Marketing data or large-scale data lake optimization.

What You Gain

• Direct influence on the future state of MDL.

• Collaboration with a skilled, cross-functional data community.

• A dynamic environment with room for engineering innovation.

Essential Skills: Azure Data Lake Databricks

Desirable Skills: Digital: Databricks~Azure Data Factory

Experience Required: 8-10

Company Benefits & Culture

Inclusive and diverse work environment

Opportunities for professional growth and development

Comprehensive health and wellness benefits