able to work across full data cycle. • Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD • Coding experience in Apache Spark, Iceberg or Python (Pandas) • Experience in change and release management. • Experience in Database Warehouse design and data modelling • Experience managing Data Migration projects. • Cloud data platform development … the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB • Good experience with DBT, ApacheIceberg, Docker, Microsoft BI stack (nice to have) • Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
modern data tooling Introduce and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to ApacheIceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering, including 2+ years in a leadership or More ❯
Experience with real-time analytics from telemetry and event-based streaming (e.g., Kafka) Experience managing operational data stores with high availability, performance, and scalability Expertise in data lakes, lakehouses, ApacheIceberg, and data mesh architectures Proven ability to build, deliver, and support modern data platforms at scale Strong knowledge of data governance, data quality, and data cataloguing Experience … with modern database technologies, including Iceberg, NoSQL, and vector databases Embraces innovation and works closely with scientists and partners to explore cutting-edge technology Knowledge of master data, metadata, and reference data management Understanding of Agile practices and sprint-based methodologies Active contributor to knowledge sharing and collaboration Desirable Knowledge, Skills and Experience: Familiarity with genomics and associated data More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
options Hybrid working - 1 day a week in a central London office High-growth scale-up with a strong mission and serious funding Modern tech stack: Python, SQL, Snowflake, ApacheIceberg, AWS, Airflow, dbt, Spark Work cross-functionally with engineering, product, analytics, and data science leaders What You'll Be Doing Lead, mentor, and grow a high-impact More ❯
in a hybrid environment requiring clear and effective communication. Strong engineering fundamentals with a passion for simplicity and precision Ideal, But Not Required Experience with database technologies (Postgres, DynamoDB, ApacheIceberg). Experience with serverless technologies (e.g. Lambda) Required Experience Prior industry experience with Python. Prior industry experience with public cloud providers (preferably AWS). Our Offer Work More ❯
DBT, and data governance frameworks Preferred: Certifications in cloud/data technologies Experience with API/interface modelling and CI/CD (e.g. GitHub Actions) Knowledge of Atlan and iceberg tables Reference: AMC/SCU/SDA/3007 Postcode: SW1 #secu More ❯
of real-time and analytical data pipelines, metadata, and cataloguing (e.g., Atlan) Strong communication, stakeholder management, and documentation skills Preferred (but not essential): AWS or Snowflake certifications Knowledge of Apache Airflow, DBT, GitHub Actions Experience with Iceberg tables and data product thinking Why Apply? Work on high-impact, high-scale client projects Join a technically elite team with More ❯