25 of 25 Remote/Hybrid Dagster Jobs in London

looking for Advanced SQL, including writing complex queries, partitioning, clustering and cost-aware query optimisation . Experience of modern orchestration/ELT tooling, ideally Dagster and dbt. Strong Python for data engineering Solid understanding of data warehousing techniques; ETL/ELT processes and dimensional modelling. Experience designing data models ...

/cloud services (ECS, EKS, Lambda, Kinesis, DynamoDB, EMR, Athena) Hands-on experience with orchestration and workflow tools (Docker, Kubernetes, Airflow, Prefect, Dagster) Familiar with CI/CD pipelines, infrastructure as code, and DBT Able to explain complex data concepts clearly to non-technical stakeholders Why This Role Matters ...

next. Cloud: AWS, GCP, Azure Ingestion: Fivetran, Airbyte, ... Warehouse and lakehouse: Snowflake, Databricks, BigQuery, Microsoft Fabric Transformation: dbt Orchestration: Airflow, Dagster, Prefect, ... BI and semantic layers: Power BI, Looker, Tableau, ... Activation and CDPs: Hightouch, Census, Segment, ... Nice to have Building the data side of agentic ...

Clear communication skills, with the ability to translate business requirements into technical solutions. Technology Environment The wider stack includes Snowflake, dbt, SQL, Python, Fivetran, Dagster, Metaplane and Tableau, alongside AWS, Terraform and GitHub. You don't need experience with every tool listed. Strong SQL, commercial dbt experience and relevant ...

agreed timelines Clear, concise communication and confidence building relationships with business stakeholders Nice to have ETL or ELT pipeline design, including orchestration with Dagster and transformation with dbt Snowflake Cortex, including Agents, Search and LLM integration Experience building AI powered applications and conversational interfaces Azure App Service, authentication ...

comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you’ve shaped any of them into something a model can query, through a metrics layer ...

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 ...

comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you've shaped any of them into something a model can query, through a metrics layer ...

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 ...

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 ...

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 ...

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 ...

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 ...

Multi threading Profiling Python/C/C++ and performance optimisation Networking Nice to have: 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 ...

relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. What the role offers: £80,000 DOE, negotiable Predominantly remote/hybrid working London office Full-time permanent position Excellent ...

Tempcover is hiring a Staff Data Engineer to join the Data & Analytics team in London. You’ll build a cloud-based data platform on Google BigQuery, Dagster+ and dbt, delivering end-to-end data pipelines ...

GitHub Actions and strengthening development tooling. Advising on securing APIs and other high‐risk system components. Assisting with securing our Data Platforms including Databricks, Dagster, Snowflake and the wider cloud environment. Developing security policy as code using OPA or similar and gaining adoption across teams. Documenting security processes … ideally AKS, along with broader container security. Experience of securing APIs and other exposed components. Ideally experience in securing data platforms such as Databricks, Dagster or Snowflake. Experience working directly with software engineering best practices including source control, unit testing, code reviews, design documentation and strong debugging and troubleshooting. ...