At a Glance
- Tasks: Design and optimise scalable data platforms and pipelines using Microsoft Fabric and Azure.
- Company: Coforge, a forward-thinking tech company in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative Agile environment with mentoring opportunities for junior engineers.
- Why this job: Join a dynamic team and make an impact with cutting-edge data solutions.
- Qualifications: 6-10 years of Data Engineering experience and strong skills in SQL, Python, and Spark.
The predicted salary is between 58500 - 71500 £ per year.
Location
London, UK
Work mode
Hybrid (3 days weekly from office)
Skills
Data Engineering, Microsoft Fabric, Cloud Data Engineering, Fabric Data Factory, Lakehouse, Data Warehouse, Dataflows Gen2, and One Lake.
We at Coforge are looking for Sr. Data Engineer in London, UK.
Role Summary
Seeking an experienced
Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines using
Microsoft Fabric, Azure, Spark, SQL, and Python . The role focuses on enabling analytics, data integration, governance, and cloud-based data solutions.
Key Responsibilities
- Design and develop ETL/ELT pipelines using
Microsoft Fabric, Spark, and SQL .
- Build batch and real-time data ingestion solutions.
- Develop solutions using
Fabric Data Factory, Lakehouse, Data Warehouse, Dataflows Gen2, and One Lake .
- Create and optimize data models for reporting, analytics, and BI.
- Implement data quality, governance, and lineage practices using
Microsoft Purview .
- Develop streaming and CDC solutions using
Kafka, Event Hub, and Event Streams .
- Optimize data pipelines, queries, and cloud resources for performance and cost efficiency.
- Collaborate with Architects, BI teams, and Dev Ops teams in Agile environments.
- Implement
CI/CD, Git integration, automation, and deployment best practices .
- Required Skills
- Strong experience in
SQL, Python, Spark, and Data Engineering .
- Hands-on experience with
- Microsoft Fabric
(preferred), Azure Data Factory, Synapse, or Databricks.
- Good knowledge of
Lakehouse Architecture, Delta Lake, Data Warehousing, and Data Modeling .
- Experience with APIs, JSON, Parquet, and streaming technologies.
- Strong analytical, troubleshooting, and communication skills.
Experience & Qualifications
6-10 years of Data Engineering experience.
- Bachelor's or Master's degree in Computer Science, IT, or related field.
- Microsoft Fabric/Azure Data Engineer certifications preferred.
- Ability to independently deliver complex data solutions.
- Experience implementing architecture standards and best practices.
- Mentoring junior engineers and contributing to technical design discussions.
Microsoft Fabric, One Lake, Data Factory, Lakehouse, Data Warehouse, Spark, SQL, Python, Azure Data Factory, Synapse, Databricks, Kafka, Event Hub, Purview, Power BI, Git, CI/CD.
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Senior Data Engineer employer: Coforge
Coforge is an exceptional employer that fosters a collaborative and innovative work culture in Basildon, UK. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge reporting solutions. Our commitment to data quality and stakeholder collaboration ensures that every team member plays a vital role in delivering impactful results.
