1 to 25 of 65 Permanent Dagster Jobs in London

data quality, testing, monitoring, and observability solutions, with tools such as Monte Carlo.Experience with workflow orchestration tools, preferably Prefect, or alternatives such as Airflow, Dagster, or Azure Data Factory.Understanding of event-driven architectures, distributed data processing, and large-scale data platforms.Experience with source control and CI/CD practices ...

compute and managed data services.Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines.Experience with streaming and event-driven data (e.g., Kafka, Kinesis, Pub/Sub) is highly desirable.Proficiency with ...

platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills ...

testing and data quality practice. A collaborative mindset and a genuine interest in building things well. Desirable Experience with orchestration tools such as Airflow, Dagster, Prefect or Azure Data Factory. Experience working within AWS, Azure, GCP or another enterprise cloud ecosystem. Experience with complex customer, transactional, digital or behavioural ...

Building Extract Transform and Load (ETL) pipeline (streaming/batch) using MPP frameworks (Spark, Beam, or other) Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products ...

.Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery ...

data platforms, or significantly evolving existing ones.Experience with data quality and observability, using dbt or complementary tooling.Familiarity with orchestration tools such as Airflow, Dagster, or Prefect.Experience with semantic layers, metrics frameworks, or analytics consumption patterns.Exposure to data governance, access control, or analytics enablement at scale.Experience mentoring or supporting junior ...

Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills #J-18808-Ljbffr ...

Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills Why Apply? Opportunity to help build a greenfield ...

metrics layers. Experience applying AI to Analytics Engineering workflows or developing AI-ready data products. Knowledge of orchestration and ingestion tools such as Airflow, Dagster or Fivetran. Python experience for automation or data engineering tasks. Experience working in regulated financial services or another highly data-driven organisation. Snowflake experience ...

data pipelines at scale Experience with a modern data stack (e.g. Snowflake, dbt, Fivetran, Debezium or similar) Experience with orchestration tools such as Airflow, Dagster or Prefect Proficiency in Python for building production data workflows Familiarity with data warehousing concepts and modelling patterns Experience working with cloud platforms ...

technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded ...

just individual pipelinesExperience designing and operating production data platforms across cloud infrastructure, orchestration, ingestion and SQL transformation layersPractical experience with GCP, BigQuery, Terraform, Kubernetes, Dagster, dlt and dbt - or equivalent tools with the ability to articulate transferable reasoningDemonstrated ability to make and document architecture decisions that involve meaningful trade ...

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 £120k + bonus X3 weeks per year ...

unfamiliar logic into clean, intuitive data models without hand-holding Bonus Experience with ClickHouse or columnar databases Familiarity with cloud-based data orchestration tools (Dagster, Step Functions) CI/CD practices for data pipelines and transformations Experience operating databases at scale in a production environment Competitive salary ...

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 ...

have experience with times series data, they use TimescaleDB but other experience with similar platforms is fineYou have experience with Orchestration platforms such as Dagster or AirflowYou're collaborative with great communication skillsWhat's in it for you:Salary to 120k + bonusX3 weeks per year work anywhere25 days ...

database as codeGrasps new business domains quickly, translating unfamiliar logic into clean, intuitive data modelsBonus: ClickHouse or columnar databases; cloud-based data orchestration (Dagster, Step Functions); CI/CD for data pipelines and transformations; operating databases at scale in productionBenefitsCompetitive salary and eligibility for equityBiannual bonus schemeFully expensed tech ...

Learning systems into production.Desirable experienceNVIDIA Jetson or other edge AI platforms.NVIDIA DeepStream, GStreamer or FFmpeg.Kubernetes, Kubeflow, ECS, Nomad or other container-orchestration platforms.Airflow, Prefect, Dagster, Metaflow or similar workflow tools.Kafka, Pulsar, Redis Streams, RabbitMQ or other event-driven technologies.Triton Inference Server, Ray Serve, TorchServe, BentoML or Seldon Core.DVC, LakeFS ...

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 ...

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 ...

Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands‐on experience with our stack: Snowflake, dbt, Hex, Dagster . Prior experience as an early data hire at a fast‐growing company, i.e. you've built the muscle, not inherited it. Most importantly ...

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 ...

related role. Strong programming skills and production experience in Python. Experience building and maintaining data or ML pipelines with an orchestration tool such as Dagster (or Airflow, Prefect, etc.). Hands-on experience with common ML libraries and frameworks, e.g. PyTorch, scikit-learn, and gradient-boosting libraries such ...

conscious: optimised warehouse spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph ...