19 of 19 Dagster Jobs in the UK excluding London

clearance as a condition of employment. Nice to have Experience with distributed data processing or streaming tools (e.g. Spark, Kafka) Workflow orchestration (e.g. Airflow, Dagster or similar) Working with LLMs, vector databases, embeddings or RAG patterns MLOps practices: model versioning, deployment and monitoring Containers and infrastructure as code (e.g. ...

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. ...

Databases: Experience with high-dimensional data retrieval using Milvus, Weaviate, or Pinecone (essential for RAG architectures). Data Orchestration: Familiarity with Airflow, Prefect, or Dagster for managing complex data movement and model training pipelines. Search & Discovery: Advanced ElasticSearch/OpenSearch for semantic search and large‐scale indexing. AI Frameworks ...

grade data pipelines end to end. Modern data stack Experience with modern ELT, transformation and orchestration technologies. Our environment includes technologies such as dbt, Dagster/Airflow and Snowflake, although experience with comparable technologies is equally relevant. Cloud infrastructure Experience designing and implementing secure, scalable solutions on a major ...

Senior Data Engineer. In this role, you will take hands-on ownership of architecting, building, and deploying modern data pipelines in Snowflake, dbt and Dagster You will lead the designing of scalable data models and machine learning models Key Responsibilities Pipeline & Architecture Ownership: Design and implement automated, modular transformation ...

hands-on experience in at least one data area and one platform area below. Data experience Orchestration: operating pipelines with tools such as Airflow, Dagster or Prefect, including dependencies, retries, backfills, reruns or schema changes. Storage and modelling: designing schemas and storage for relational databases, warehouses or lakehouses ...

knowledge of data governance and privacy obligations, including GDPR Experience ensuring analytics outputs are accurate, documented, and appropriately controlled Valuable Extras Analytics engineering practice: Dagster, version control, CI/CD, and automated testing Experience with cloud data platforms, such as Snowflake or BigQuery Group Personal Pension Plan – 8% employer ...

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 ...

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 ...

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/queues ...

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 ...

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 ...

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 ...

security implications. You might also have: Experience with Kubernetes for cloud-burst or elastic compute scenarios. Familiarity with workflow orchestration tools (e.g. Prefect, Airflow, Dagster) — not required to design flows, but useful for understanding deployment/runtime needs. Exposure to high-performance/scientific/technical computing environments ...

Data Scientists Design, build and maintain reproducible data pipelines that combine imaging biomarkers and clinical data, building on the Data Engineering team’s existing Dagster study pipelines, analytics workflow libraries and Qureight platform Build and test pipelines against dummy or interim data before database lock, and deliver CDISC formats … production data pipelines with automated testing and CI/CD Experience implementing data validation and quality checks Experience with workflow orchestration tools, such as Dagster, and cloud infrastructure on AWS A good working understanding of data science workflows, including statistical modelling and machine learning and of how clinical trial ...

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 ...

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. ...

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 ...