ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul More ❯
ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul More ❯
ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul More ❯
ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul More ❯
london (city of london), south east england, united kingdom
Winston Fox
ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul More ❯
pipelines. Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow. Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra More ❯
orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯
orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯
orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯
orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink, Materialize) Exposure to eCommerce, marketplace, or transactional environments More ❯
of 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, Apache Iceberg, 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 of More ❯
bradford, yorkshire and the humber, united kingdom
Bridge
of 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, Apache Iceberg, 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 of More ❯
expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse architectures. Excellent analytical and problem-solving skills with More ❯
bradford, yorkshire and the humber, united kingdom
Fruition Group
expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse architectures. Excellent analytical and problem-solving skills with More ❯
of 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, Apache Iceberg, 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 of More ❯
While in this position your duties may include but are not limited to: Support the design, development, and maintenance of scalable data pipelines using tools such as Apache Airflow, dbt, or Azure Data Factory. Learn how to ingest, transform, and load data from a variety of sources, including APIs, databases, and flat files. Assist in the setup and optimisation of More ❯
field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing ● Experience with at least one of the programming languages like Python, C++[2] , Java ● Experience with version control and code review tools such as Git More ❯
field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing ● Experience with at least one of the programming languages like Python, C++[2] , Java ● Experience with version control and code review tools such as Git More ❯
bristol, south west england, united kingdom Hybrid / WFH Options
Lloyds Banking Group
an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed understanding of working automated More ❯
for: Proven experience in cloud data engineering (AWS preferred) Hands-on expertise with services like Redshift, S3, Lambda, Glue, Lake Formation, CloudFormation Strong coding skills in Python, Spark, SQL (DBT, Apache Iceberg a bonus) Experience with data warehouse design, CI/CD pipelines, and infrastructure-as-code Knowledge of Agile & Waterfall delivery methods Strong stakeholder management and communication skills What More ❯
on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). EMI share options Training budget Private healthcare Pension 25 days holiday + bank holidays Central London office & socials Work abroad up to 1 month/year Join a More ❯
Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Az-Tec Talent
Strong communication and problem-solving skills. Ability to work both independently and collaboratively within client teams. Desirable: Consulting experience or client-facing delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and More ❯
