Help design and deliver a modern data platform for a US-based client’s engineering team as a Senior Data Engineer.
About the Client
Our client is a global customer experience technology and consulting company and a long-standing, top-tier Microsoft partner. Its Microsoft practice works across Dynamics 365, Power Platform, Azure, and Microsoft 365.
The client’s teams bring together CX engineers, developers, data scientists, and solution architects who design, deliver, and support complex, fully integrated digital solutions for enterprise clients.
Your impact
You’ll work across Microsoft Azure, Microsoft Fabric, and Azure Databricks to build scalable, secure, and governed lakehouse platforms that support analytics, Generative AI, and Agentic AI.
Working alongside architects, data scientists, and client stakeholders, you’ll ingest, clean, prepare, and deliver trusted data, and build the APIs that connect it to downstream applications and reporting.
What makes you a great fit
5+ years in technology, with significant experience in enterprise data platforms, cloud, and analytics
Strong experience building Data & Analytics solutions on Microsoft Azure
Exposure to the Microsoft Azure data ecosystem (Azure Data Factory, Microsoft Fabric, ADLS Gen2) and/or Azure Databricks
Strong technical foundation in SQL, Python, Spark, distributed processing, data modeling, integration patterns, and APIs
Strong understanding of Medallion Architecture, data products, semantic layers, batch and streaming architectures, and event-driven integration
Knowledge of Azure security: Entra ID, RBAC, managed identities, Key Vault, VNets, Private Link/private endpoints
Understanding of ETL/ELT concepts and the end-to-end data lifecycle, from ingestion through activation
Familiarity with building or consuming APIs for data integration
Familiarity with version control (Git) and basic CI/CD concepts
Upper-Intermediate English level or higher
Nice to have
Experience with Delta Lake and Unity Catalog
Experience with Azure DevOps
What you will do
Design, build, and maintain batch and streaming data pipelines using Microsoft Fabric, Azure Data Factory, and Azure Databricks, with Python, PySpark, and SQL
Ingest data from structured, semi-structured, and unstructured sources (databases, APIs, files, and event streams) into governed lakehouse environments
Support the full data journey on client engagements: ingestion, cleaning, preparation, transformation, and delivery of analytics-ready datasets
Implement transformation logic aligned with Medallion (Bronze, Silver, Gold) architecture patterns in ADLS Gen2, OneLake, and/or Delta Lake
Build and consume APIs and reusable data services that expose data to reporting, applications, and downstream analytics
Write clean, well-tested code and participate in peer code reviews
Apply data modeling fundamentals (dimensional, normalized, star schema) to structure data for analytics, Power BI, and reporting use cases
Implement data quality checks, validation rules, and monitoring to keep pipelines accurate, complete, and reliable
Troubleshoot pipeline failures, performance bottlenecks, and data discrepancies, escalating and resolving issues promptly
Document data flows, data models, and transformation logic for technical and client audiences
Support data security, access control, and governance practices (e.g., Microsoft Purview, role-based access)
Gain exposure to how data is activated for front-line systems and early Data Agent/Copilot-style use cases
Participate in agile ceremonies, including sprint planning, stand-ups, and estimation, as part of a delivery team
Perks & Benefits
Competitive salary with regular reviews
Vacation (up to 20 working days)
Sick leave (10 working days)
National holidays as a time off
Flexible working schedule and remote work
Direct cooperation with the customer
Dynamic environment with a low level of bureaucracy and great team spirit
Challenging projects in diverse business domains and a variety of tech stacks
Communication with top- and senior-level specialists to strengthen your hard skills
Online teambuildings
