26 to 50 of 85 Dagster Jobs in the UK

OLTP systems you capture from — critical for financial ledgers. Data lake governance: catalogs, lineage, access control, PII, retention. Python and an orchestrator (Airflow/Dagster) as tools — this is an architecture and ownership role, not heads-down coding. Nice to have: fintech, iGaming, or another regulated, audit-heavy environment. ...

deliver outcomesStrong commercial awareness, including experience contributing to scoping, estimation and proposal developmentNice to haveSnowflake ecosystem experience with tools such as dbt, Airflow/Dagster, Matillion/Fivetran, Kafka/Kinesis/Event Hubs or similarExperience with Snowflake capabilities such as Snowpark, Streams & Tasks, Dynamic Tables, Data Sharing ...

would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code Owned a project across a whole software product ...

just training models in notebooks), including familiarity with serving patterns (e.g., REST APIs, batch inference, event-driven) Experience with orchestration tools (e.g., Airflow, Dagster) and cloud-native ML platforms (e.g., AWS SageMaker, GCP Vertex AI) Ability to influence decision-making regarding infrastructure and tooling, balancing 'build vs. buy' discussions ...

analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product ...

analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product ...

external CLI tools/subprocesses safely. You might also have experience of the following: Direct experience with a workflow orchestration framework (Prefect, Airflow, Dagster, or similar). Experience with containerization (Docker, or HPC-oriented tools like Apptainer/Singularity). Exposure to systems that coordinate with external schedulers/ ...

collaborating with Product, Analytics and Engineering in a fully remote UK setup. You will build scalable pipelines in Python and SQL, leverage Snowflake, dbt, Dagster or Airflow, and AWS, and contribute to data quality and monitoring. Startup/scale-up experience is a plus. #J-18808-Ljbffr ...

salary band of £85,000 - £100,000. You will design, build, and maintain scalable data pipelines using Python and SQL, leverage Snowflake, dbt, Dagster, Airflow, and AWS, and collaborate with product, analytics, and engineering to enable data-driven decisions. This is a high-ownership IC role in a fast ...

data engineering experience with Spark, strong Python and SQL, extensive AWS services, and hands-on experience with orchestration tools (Docker, Kubernetes, Airflow, Prefect, Dagster). Hybrid work model in London. #J-18808-Ljbffr ...

Experience required: Strong SQL skills for transforming, cleaning and loading data Commercial Python, PySpark and Pandas experience Experience with orchestration tools such as Airflow, Dagster or Celery Practical experience with Spark and EMRHands-on knowledge of AWS services, including Lambda, RDS and S3 Experience using Claude Code as part ...

code Grasps new business domains quickly, translating unfamiliar logic into clean, intuitive data models Bonus: ClickHouse or columnar databases; cloud-based data orchestration (Dagster, Step Functions); CI/CD for data pipelines and transformations; operating databases at scale in production Competitive salary and eligibility for equity Biannual bonus scheme ...

e.g. AWS, GCP or Azure) Comfortable working in a Linux environment Nice to have: Advanced data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit ...

e.g. AWS, GCP or Azure) Comfortable working in a Linux environment Nice to have: Advanced data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit ...

experience working with core data science libraries (e.g. pandas/polars, scikit-learn) Familiar with cloud platforms (e.g. AWS) and orchestration tools (e.g. Airflow, Dagster) in relation to operationalising data science products Experience leveraging Snowflake ML and robust data pipelines to deliver scalable, production-ready data science solutions ...

experience with times series data, they use TimescaleDB but other experience with similar platforms is fine You have experience with Orchestration platforms such as Dagster or Airflow You're collaborative with great communication skills What's in it for you: Salary to £85k + bonus X3 weeks per year ...

with tools such as Looker, Tableau or Power BI Hands-on experience with dbt and Airflow Preferred Other pipeline and orchestration tools such as Dagster or Prefect, or in-house equivalents, will also be considered Experience building predictive models A background in a fintech, neobank, payments business or product ...

tasks as needed What you bring to the team Strong Python and SQL skills Experience building or maintaining ETL/ELT pipelines — dbt, Airflow, Dagster, AWS Glue or similar Experience working with cloud data platforms (AWS, Azure or GCP) A solid understanding of data modelling principles The ability ...

similar databases. Experience designing data models, schemas and transformation layers for complex datasets. Experience with directed acyclic graph–based orchestration tools such as Airflow, Dagster, Prefect or similar systems. Familiarity with data warehouses, object storage, queues, APIs and cloud infrastructure. Experience with data quality testing, lineage, observability, versioning ...

datasets. Knowledge of healthcare coding systems and standards such as SNOMED CT, ICD, or READ codes. Experience with Databricks. Experience with Kubernetes. Experience using Dagster or other workflow orchestration platforms. SQL and data modelling experience. Understanding of metadata management and data governance frameworks. Many Data Engineering roles focus primarily ...

Desirable Experience UK wealth management, financial services or fintech experience; candidates from other complex, regulated industries will also be considered. Experience working with DBT & Dagster Legacy modernisation experience involving Oracle, Sybase, ISAM storage and SFTP/file-based integration, including migration, coexistence, reconciliation, CDC and progressive decoupling. Why join ...

scale: incremental versus full refresh, clustering, and a lag target a consumer needs. Orchestration. You have scheduled, monitored, and repaired a pipeline in Airflow, Dagster, or an equivalent. CI/CD and deployment management. You have run a project where a pull request builds the changed models and their ...

Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls for sensitive biomedical or clinical data. Identity platforms and federation technologies such as Entra ...

that brings together data from our e-commerce, manufacturing, fulfilment, and finance systems. We build on a modern, warehouse-native stack — Snowflake, dbt, and Dagster — and we're working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self-service tools ...

platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure ...