Lead Azure Data Engineer

Jobtailor; Deutschland; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Flexible work arrangements

Zusammenfassung

Jobtailor in Germany seeks a senior data engineering leader to build and govern Azure-based data platforms. You will own data lakehouse architectures, steer BI modeling in Power BI, and guide cross-functional data strategy with product and engineering teams.

You will mentor colleagues, optimize pipelines, ensure data privacy, and drive AI-enabled analytics across client initiatives. A hands-on leader comfortable working across strategy and implementation is essential.

Qualifikationen

• 7–10+ years in data engineering / BI with cloud experience.
• Strong Azure Data Stack expertise: Fabric, SQL, and Power BI.
• Proven track record leading analytics projects and teams.
• Excellent communication, governance, and security care for multi-tenant data.

Aufgaben

• Lead the creation of data platforms using Azure Data Stack and Fabric.
• Design scalable data models, ETL/ELT pipelines, and analytics layers.
• Architect Fabric reporting solutions with medallion layers and CDC/mirroring.
• Ensure PII protection, multi-tenant isolation, and data retention compliance.
• Mentor team, review code, and govern analytics best practices.
• Partner with engineering, product, and business stakeholders.
• Develop SQL queries, Power BI models, dashboards, and reports.
• Drive AI-ready data pipelines and integration of GenAI into analytics.

Kenntnisse

Data engineering

Leadership

SQL

Python

Data governance

Cloud architecture

Stakeholder communication

Tools

Azure SQL

Microsoft Fabric

Power BI

Data Lakehouse

BigQuery look/ML paradigms

Jobbeschreibung

Responsibilities

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
• Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
• Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
• Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
• Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
• Lead end-to-end analytics projects — from requirement gathering to deployment.
• Mentor junior team members, perform code reviews, and ensure adherence to quality standards.
• Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
• Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
• Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
• Stay up to date with advancements in the analytics and cloud data ecosystem.
• Drive innovation in reporting and analytics capabilities.
• Recommend and implement new tools, frameworks, and practices to enhance the data platform.
• Define best practices, coding standards, and governance for analytics projects.
• Monitor data systems performance and implement optimization strategies.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI and integrating GenAI into analytics and data products.
• Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
• Define governance and quality standards for data consumed by LLMs and agents.

Requirements

• Demonstrated expertise with a minimum of 7 - 10 years of relevant experience in data engineering and business intelligence domain.
• Strong primary expertise in the Azure Data Stack, specifically Azure SQL, Microsoft Fabric, and Power BI (semantic layer design, robust dashboard development), with a minimum of two years of hands‑on experience in these specific tools.
• Advanced SQL skills and a solid understanding of modern data architecture, including Data Lakehouse concepts, medallion architecture, star/snowflake schemas, and dimensional modeling.
• Proficiency in Python for data engineering, ETL/ELT workflows, and automation tasks.
• Experience designing and maintaining enterprise‑grade data pipelines — specifically in Azure environments.
• Proven track record of leading analytics projects and delivering scalable data solutions.
• Ability to function as a player‑coach — leading while also contributing hands‑on.
• Solid understanding of data governance, security (especially around PII and multi‑tenant architectures), and performance optimization practices.
• Strong communication skills and ability to translate complex technical concepts for business stakeholders.