21 of 21 Permanent Dagster Jobs in the UK excluding London

relational or analytical storage (for example Kafka, Spark, PostgreSQL). Orchestration. Defining and running data workflows with modern orchestration frameworks (for example Airflow, Dagster or Prefect). Data quality and lineage. Tools and techniques for data testing, documentation and lineage (for example Great Expectations or dbt). AI, MLOps ...

quality ETL/ELT pipelines and automated data workflows. Experience integrating heterogeneous data sources, databases and APIs. Experience with workflow orchestration tooling (e.g. Airflow, Dagster or dbt) for scheduling and operating production data pipelines. Good understanding of data quality, metadata, lineage, testing and reproducibility. Ability to evaluate technical options ...

relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL.* **Orchestration** Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect.* **Data Quality and Lineage** Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. ...

building scalable data pipelines and distributed data platforms Knowledge of Kafka, Spark and modern data processing technologies Experience with orchestration tools such as Airflow, Dagster or Prefect Hands-on experience with Docker, Kubernetes and containerised deployments CI/CD experience with a focus on production ownership and reliability Understanding ...

Model and manage data across data warehouses and lakes and operational databases Build batch and streaming workflows, orchestrated with tools such as Airflow, Prefect, Dagster, or dbt Own data quality, validation, lineage, and observability ensuring the data feeding our models is accurate, timely, and trustworthy Engineer features and datasets … Technical Skills Python (essential) – pandas, NumPy, and the modern data/ML ecosystem SQL – advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain ...

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 ...

Parquet/Arrow, plus an analytical engine, e.g. DuckDB, or a warehouse such as Snowflake. Orchestrated batch pipelines you've operated, not just written: Dagster or Airflow, S3-based data flows, and a habit of testing outputs for correctness rather than only for exceptions. Applied ML in production: embeddings ...

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 ...

advanced analytics — ideally in a hybrid PLG/sales-led SaaS environmentStrong 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 ...

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 ...

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 ...

teamwork skills. Passion for building scalable in-house technology solutions using both custom and off-the-shelf tools. Nice to Have Experience with Dagster or similar orchestration platforms. Familiarity with CI/CD pipelines and tools such as GitHub Actions. Knowledge of REST and/or GraphQL APIs. Experience ...

interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teams**Nice to Have*** Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster)* Exposure to Snowflake as the analytics warehouse platform* Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms* Experience in a manufacturing, semiconductor ...

geospatial data handling Machine learning or data science background Time-series data and databases (e.g. InfluxDB, TimescaleDB) Data workflow orchestration (e.g. Airflow, Dagster) This role is 100% onsite, so you need to live within commutable distance. If you are interested, please apply to Matt Andrews at IC Resources ...

lineage, properties, hazards. These are hard models with real edge cases, and the abstractions you choose will outlive the code. Data pipelines and orchestration. Dagster pipelines feeding a versioned data lake and a warehouse serving multiple use cases, with the reproducibility and governance that scientific data demands. Reconciling sources … Data Working knowledge of Kubernetes/EKS, comfortable deploying to and reasoning about containerised workloads in a managed K8s environment. Experience orchestrating pipelines with Dagster, Airflow, Prefect, or similar. Solid grasp of ETL concepts and production‐grade pipeline design. Beneficial Skills Interest in chemistry, life sciences, robotics, or manufacturing. ...

failures, data inconsistencies, and production issues Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink … data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate ...

inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink … data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate ...

responsibilities include: Designing and building scalable data pipelines using Python and SQL Developing solutions with Snowflake, dbt and modern orchestration tools such as Dagster or Airflow Building and improving cloud-native data infrastructure on AWS (or transferable GCP experience) Developing scalable data models and supporting the wider platform architecture … data platforms in fast-moving technology businesses. You'll ideally have: Strong Python and SQL experience Experience with Snowflake Experience using dbt Experience with Dagster, Airflow or another modern orchestration framework AWS experience (GCP also considered) Strong understanding of data modelling principles Experience building end-to-end data platforms ...

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product‐passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with ...

Node.js Distributed/data platforms: HDFS, HBase, Spark, plus increasing use of Kubernetes and cloud services Storage/search: MongoDB, OpenSearch Orchestration: Airflow, Dagster, NiFi Tooling: GitHub, GitHub Actions, Rundeck, Jira, Confluence Deployment/config: Ansible (physical), Terraform/Argo CD/Helm (Kubernetes) Development environment: MacBook (typical) Essential … data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure‐as‐code Degree in Computer Science or numerical degree Competitive salary DOE 25 days ...