Senior Data Engineer & Application Developer | Azure & Spark

Luxoft; United Kingdom; Remote; GBP 90,000 - 150,000; Full time

Job summary

Luxoft in the United Kingdom is seeking a senior data engineer to design, build and optimize large-scale ETL/ELT pipelines on Azure Databricks, Spark, and cloud data platforms. You will integrate data from diverse sources, implement complex SQL and data models, mentor teammates, and contribute to architecture and best practices across analytics, ML, and BI initiatives.

This role emphasizes Python, DevOps with Terraform, CI/CD, and LLM-enabled workflows to automate processes and improve data

Qualifications

• 7+ years of data engineering, data integration, data modeling, data architecture, and ETL/ELT to provide quality data and analytics solutions
• 5+ years of Python experience
• 2+ years Redis-backed state management and event-driven processing
• 2+ years Apache Spark (PySpark/Spark SQL)
• 2+ years building cloud data pipelines with Azure Databricks, Snowflake, Functions, Service Bus
• 2+ years SQL designing complex data schemas and performance tuning
• Experience building LLM integrations for workflow automation
• Experience with DevOps automation using Terraform
• Experience with CI/CD tools – GitHub Actions, Git, Artifactory, Sonar

Responsibilities

• Design and develop ETL/ELT solutions on Azure Databricks, LakeBase, and SparkDevelop for analytics and ML features
• Build and optimize large-scale data pipelines for data integration and insights
• Consume data from diverse sources (RDBMS, APIs, FTPs) and formats (Excel, CSV, XML, JSON, Parquet)
• Write advanced SQL with performance tuning and complex schemas
• Mentor data engineers and provide technical direction
• Contribute to architecture evolution and best practices for data platforms
• Develop AI-based solutions to automate workflows and improve operations

Skills

Data engineering

Data integration

Data modeling

Data architecture

ETL/ELT

Python

API design

Spark

SQL

LLM integrations

Terraform

CI/CD

GitHub Actions

Git

Artifactory

SonarQube

Redis

Education

Bachelor's degree in Computer Science, Engineering, Mathematics

Tools

Redis

Apache Spark

Azure Databricks

Snowflake

Functions

Service Bus

GitHub Actions

Git

Artifactory

SonarQube

Terraform

Job description

Luxoft in the United Kingdom is seeking a senior data engineer to design, build and optimize large-scale ETL/ELT pipelines on Azure Databricks, Spark, and cloud data platforms. You will integrate data from diverse sources, implement complex SQL and data models, mentor teammates, and contribute to architecture and best practices across analytics, ML, and BI initiatives.

This role emphasizes Python, DevOps with Terraform, CI/CD, and LLM-enabled workflows to automate processes and improve data