IT Data Architect

Screened
London
£80,000
Posted 4 days ago
Apply Now

About the role

Data Engineer Location: Remote/ London occasional visits to London Start Date: Immediately starters only Join a dynamic Digital Transformation Consultancy as a Data Engineer and play a pivotal role in delivering innovative, data-driven solutions for high-profile government clients. You’ll be responsible for designing and implementing robust ETL pipelines, leveraging cutting-edge big data technologies, and driving excellence in cloud-based data engineering. This role offers the opportunity to work with leading technologies, collaborate with data architects and scientists, and make a significant impact in a fast-paced, challenging environment. Leverage big data tools, including Apache Kafka, Spark, and Airflow, to deliver scalable solutions. Collaborate with stakeholders to ensure data quality and alignment with business goals. Utilise programming expertise in Python, Scala, and SQL for efficient data processing. Build data pipelines using cloud-native services on AWS, including Lambda, Glue, Redshift, and API Gateway. Monitor and optimise data solutions using AWS CloudWatch and other tools. Proven hands-on experience in data engineering projects Expertise in Python, PySpark and SQL languages Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc. Iac experience of deploying AWS resources using terraform Be part of a forward-thinking consultancy driving digital transformation for industry leaders. Work with the latest big data and cloud technologies. If you’re passionate about delivering impactful data solutions and meet the criteria for this role, we’d love to hear from you. Apply today and lead the way in digital transformation!

About this listing

Screened by Joboru

This role passed our automated spam and quality filters and was active in our feed when last checked. Joboru is an aggregator — here is how we screen listings. If anything looks off, tell us.