Job DescriptionWe are looking for a highly passionate and results-oriented Data Engineer specializing in Azure Synapse, Spark, and SQL who will focus on leading the design, development, optimization, and governance of enterprise-scale data platforms and pipelines on the Microsoft Azure cloud. Our customer is one of the international companies providing audit, tax, consulting, and financial advisory services.
This role requires a deep blend of technical expertise, architectural insight, and leadership skills.
Responsibilities
Data Platform&Architecture
- Architect and implement scalable, secure, and cost-efficient cloud-native data solutions, primarily utilizing Azure Synapse Analytics (SQL Pools, Spark Pools, Serverless SQL).
- Define and enforce data modeling best practices optimized for Synapse.
- Lead the design and implementation of Lakehouse/Medallion Architecture patterns (Bronze, Silver, Gold layers) using Azure Data Lake Storage (ADLS) Gen2 and Delta Lake/Parquet formats.
Data Pipeline Development (ETL/ELT)
- Design, build, and orchestrate complex ETL/ELT data pipelines using Azure Synapse Pipelines (formerly Azure Data Factory) and other Azure services.
- Develop highly optimized data transformation, cleansing, and aggregation jobs leveraging Apache Spark (PySpark/Scala) in Azure Synapse Spark Pools (or Azure Databricks).
- Implement advanced SQL logic (T-SQL, Spark SQL) for data manipulation, stored procedures, functions, and query performance tuning in Synapse Dedicated/Serverless SQL Pools.
Performance&Optimization
- Tune and optimize Synapse SQL and Spark queries, jobs, and data models to ensure peak performance and minimize cloud compute costs.
- Manage data partitioning, indexing, and resource allocation within Azure Synapse workspaces.
- Implement comprehensive data quality checks and validation frameworks withs.in the data pipeline
Collaboration&Leadership
- Collaborate with business stakeholders to translate business needs into robust technical data requirements.
- Mentor junior/mid-level data engineers and drive technical excellence and best practices across the team.
Qualifications and Experience
- Experience: 5+ years in a Data Engineering role, with significant experience operating at a Senior or Expert level on cloud platforms.
- Upper-Intermediate level of spoken and written English
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Certifications (Highly Desired): Microsoft Certified: Azure Data Engineer Associate (DP-203) or equivalent advanced cloud/big data certifications.
At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion (tietoevry.com)
Top Skills
What We Do
In a rapidly changing world, technology is everything. It's in the fabric of society. In every part of every business. At the very heart of human evolution. It’s a great power that comes with great responsibility.
At Tietoevry, we believe it’s time to shift perspective. It’s not about what technology can do anymore — but what it should. So that the futures of businesses, societies, and humanity can live and thrive. Side by side.
This is why we're making it our business to create purposeful technology that reinvents the world for good.
https://www.tietoevry.com/en/
#purposefultechnology #Tietoevry
