Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Holland & Barrett International Limited
from BI reporting to customer segmentation and content personalisation, your work will directly influence how H&B delivers for our customers. You'll work with cutting-edge technologies including Amazon Redshift, Matillion and the AWS ecosystem, and you'll be hands-on with SQL, ELT workflows and data modelling. This is an exciting opportunity to make a big impact … collaborating across product, tech and business teams. What You'll Be Doing Integrating raw data sources into the H&B data environment Building and scaling our data warehouse in Amazon Redshift Designing, building and maintaining ELT workflows Developing data cubes and applications to support BI, marketing and analytics Writing high-quality SQL and ensuring system health across our data … broad technical skillset and eagerness to learn — from Git and Linux to APIs, Docker, NoSQL and serverless tools Bonus: experience in data visualisation, analytics or serverless data stacks (Lambda, Kinesis, API Gateway) Entrepreneurial mindset, strong communication skills, and a drive to deliver in a fast-paced environment We support flexibility and productivity of our employees by hybrid working arrangements. More ❯
