delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Physics More ❯
with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. More ❯
preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers More ❯
preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers More ❯
preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers More ❯
london (city of london), south east england, united kingdom
Kubrick Group
preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers More ❯
preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers More ❯
Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding More ❯
Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding More ❯
Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding More ❯
Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding More ❯
london (city of london), south east england, united kingdom
Searchability®
Engineer in a fast-scaling tech or data-driven environment Strong proficiency in Python (or Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding More ❯
experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯
/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯
/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯
/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯
Oxford, England, United Kingdom Hybrid / WFH Options
Cubiq Recruitment
especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka, Airflow, Dagster, Kedro) Background in industries with complex datasets, such as healthtech, NLP, or other large-scale data applications Leadership opportunity Alongside core engineering hires, the team is also seeking one More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
Cubiq Recruitment
especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka, Airflow, Dagster, Kedro) Background in industries with complex datasets, such as healthtech, NLP, or other large-scale data applications Leadership opportunity Alongside core engineering hires, the team is also seeking one More ❯
baltimore, maryland, united states Hybrid / WFH Options
T. Rowe Price
practices across engineering teams. Passion for hands-on engineering—comfortable both whiteboarding architecture and prototyping in code. Deep, hands-on expertise with modern data stack technologies including AWS, Snowflake, Dagster, dbt, and Spark. Excellent collaboration and communication skills; able to engage both technical and non-technical audiences. Preferred: Understanding of the asset management business and/or financial markets. More ❯
modern, cloud-first environment with real autonomy — designing and building data pipelines, improving infrastructure, and driving innovation across the data platform. Tech Stack: 🔹 Snowflake 🔹 Python (FastAPI, Pydantic) 🔹 Airflow/Dagster 🔹 AWS + Terraform 🔹 CI/CD (GitHub Actions) (Bonus: Kafka, dbt/SQLMesh, data quality & governance tools) What’s on Offer: 💰 Up to £110,000 + annual bonus + More ❯
systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches Knowledge of streaming data processing and real-time analytics Experience with More ❯
systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches Knowledge of streaming data processing and real-time analytics Experience with More ❯
