26 to 50 of 83 Remote/Hybrid Apache Airflow Jobs

Data Vault, dimensional modelling or complex entity resolution. Building data foundations for machine learning, anomaly detection or GenAI applications. Experience with Azure Data Factory, Airflow or similar orchestration technologies. Why consider it? This is an opportunity to take genuine technical ownership of an important data engineering capability, rather than ...

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 ...

with text, audio, or video in AI applications.Experience evolving shared AI infrastructure or platforms used by multiple product teams.Experience with orchestration tools such as Airflow or Argo Workflows.Familiarity with SQL, Spark, Snowflake, or other data processing technologies.Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage ...

audio, or video in AI applications. Experience evolving shared AI infrastructure or platforms used by multiple product teams. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience with AI security, privacy, responsible AI, prompt injection protection ...

scripts and CI/CD automationWorking knowledge of modern MLOps stacks including experiment tracking and artifact managementHands-on experience with orchestration tools (e.g., Kubeflow, Apache Airflow, Metaflow or Prefect)Demonstrated skills with Docker, Kubernetes and distributed deploymentsPractical knowledge of Infrastructure-as-Code (Terraform) and a major cloud provider ...

technical issuesData Engineers must have:2:1 or above Hons. degree or equivalent in mathematics, computer science or comparable scientific discipline.PythonBuild ETL Pipelines (e.g., Airflow)JavascriptBuild and CI/CD toolsWrite SQL codeCreate and implementing Rest APIsGIT and GIT branchingBI Tools such as Looker, Qlik, Power BI, TableauContainerisation technologiesGoogle ...

lake, lakehouse, warehouse or large-scale analytical platform delivery. • Python, Bash or other scripting and automation approaches. • Workflow orchestration and scheduling tools, such as Airflow, TWS, JS7 or similar. • CI/CD, version control and modern engineering delivery practices. • Data quality, testing, observability and operational resilience. • Working with enterprise ...

data warehousing and data modelling principles Experience with Snowflake and modern cloud data platforms Python development skills Experience with workflow orchestration tools such as Airflow Knowledge of streaming technologies and real-time data processing Experience implementing CI/CD and engineering best practices What They Offer Competitive salary ...

Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community ...

secureCost-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 ...

will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values ...

native architecturesPractical experience with Azure (Azure OpenAI, Azure AI Foundry, AI Search) and familiarity with AWS or GCPProficiency with containerized deployment, MLOps tooling (MLFlow, Airflow), and infrastructure-as-code practicesBachelor's or Master's degree in Computer Science, Data Science, or related fieldNice to haveExperience with Azure AI Agent ...

help refine problem statements and figure out how to solve themSome extra skills that are great (but not essential): Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CDPrior experience in the fraud domain and a strong understanding of fraud detection techniquesExperience designing ...

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 ...

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 ...

Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community ...

Data Engineer Location: Remote – with requirement to visit London based office twice a month Hours: 37.5 Hours a week (Monday – Friday 9:00am – 17:00pm) Salary Range: £40,000 - £80,000 per annum (Depending on ...

Nice to have Consulting or client-facing delivery experience Experience evaluating and monitoring LLM systems (testing, guardrails, cost control) MLOps tools such as MLflow, Airflow or CI/CD pipelines We Are Dcoded is acting as an employment agency in relation to this permanent vacancy. ...

GitHub Actions and Azure DevOpsExperience with data platforms and tools such as Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestExperience in commodity trading and supply operations, ideally within the energy sectorStrong communication skills with both technical and business audiences ...

operate across engineering, product, and business functions Desirable Experience LLM applications and document-processing platforms Retrieval-Augmented Generation (RAG) React and Next.js Snowflake Airflow Data engineering and ETL pipelines Kubernetes and cloud-native infrastructure Supply chain, procurement, or operational systems Ideal Background Suitable candidates may come from: Product ...

team's responsibilities.Required Skills, Knowledge and ExpertiseExperience building and operating data pipelines, including ingestion, preparation, data quality checks, backfills and orchestration.Working knowledge of Kubernetes, Airflow, SQL and Spark.A practical approach to delivering work, with reliability and consistency in how you maintain systems and work with others.The ability to collaborate ...

responsibilities. Required Skills, Knowledge and ExpertiseExperience building and operating data pipelines, including ingestion, preparation, data quality checks, backfills and orchestration. Working knowledge of Kubernetes, Airflow, SQL and Spark. A practical approach to delivering work, with reliability and consistency in how you maintain systems and work with others. The ability ...

authentication patterns, and integration with enterprise systems.Data Engineering & PlatformsAbility to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents.Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals.Strong debugging instincts with imperfect ...

experimentation, statistical analysis and performance measurement. Ability to influence senior stakeholders and translate analytics into commercial outcomes. Experience with tools such as BigQuery, dbt, Airflow, Git, Tableau or Looker is advantageous. Python experience is beneficial. What They Offer Up to £100,000 base salary plus bonus and benefits. Hybrid ...

working in a collaborative, fast-paced environment Experience in regulated industries or scaling SaaS companies is a plus Exposure to data platforms (e.g., Snowflake, Airflow) advantageous What's On Offer Hybrid working (1 day onsite, Dublin City Centre) Competitive salary and performance-related bonus Pension and private healthcare Share ...