76 to 100 of 367 Apache Airflow Jobs in England

marketing teams to align data solutions with business needs**Requirements*** Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)* Experience with cloud data platforms (e.g., Azure, AWS, or GCP)* Proficiency in data modelling (dimensional, entity-relationship, event-driven)* Understanding ...

with data pipelines, ELT workflows, and contemporary cloud data architectures.Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools.Ability to understand and work with SQL queries and data models.Knowledge of data governance, privacy, security, regulatory reporting, and responsible 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 cloud platform. ...

data pipelines, ELT workflows, and contemporary cloud data architectures. Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools. Ability to understand and work with SQL queries and data models. Knowledge of data governance, privacy, security, regulatory reporting, and responsible ...

systems Hands-on experience with dbt or Dataform, building modular, tested data models Experience orchestrating data pipelines with a modern orchestrator such as Dagster, Airflow, or Prefect Solid knowledge of cloud platforms (GCP and/or AWS), with the ability to design and deploy data solutions at scale Experience ...

maintaining scalable data platforms. Strong SQL and data modelling skills, with experience designing analytical datasets. Experience with modern data stack tools (e.g. dbt, Spark, Airflow, or similar orchestration and transformation frameworks). Experience with cloud‐based data platforms, ideally AWS. Understanding of medallion architecture or similar data layering approaches. ...

technical roadmap for data engineering across Elliptic. Leverage and deploy AI and agentic systems to operate more effectively. Tech environment Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming You will thrive here if you Enjoy end‐to‐end ownership, from writing the code to architecture design to coaching ...

ability to work with non-technical stakeholders NICE TO HAVE Hands-on experience with Google Cloud Platform, especially BigQuery Experience with orchestration tools (e.g. Airflow ) Knowledge of data governance and data quality frameworks Exposure to reverse ETL tools (e.g. Hightouch ) Familiarity with AI coding assistants and a habit ...

relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity ...

safe to challenge ideas, learn, and grow. Nice to have Hands-on familiarity with the modern data stack — for example, Spark, Flink, Kafka, Debezium, Airflow, dbt, or similar — and with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices. Experience leading teams that built data platforms used ...

automated testing, deployment pipelines, and version control in a data engineering contextKnowledge of data modelling concepts and pipeline orchestration patterns beyond Databricks Workflows (e.g. Apache Airflow)Prior experience working in large-scale Hadoop to cloud migration programmes or legacy platform modernisation projectsFamiliarity with streaming data processing (e.g. Apache ...

experience with BigQuery . Experience building and supporting production data pipelines. Experience developing transformation layers using dbt . Experience with orchestration tools such as Apache Airflow or Cloud Composer . Strong SQL and Python development skills. Experience designing scalable data models and data warehouse solutions. Strong stakeholder engagement … independently and taking ownership of delivery. Why Join? Be part of a growing Data Engineering team. Work with modern technologies including GCP, BigQuery, dbt, Airflow, Terraform and cloud-native services . Help shape a strategic cloud data platform. Join a business investing heavily in its data capability. Enjoy real ...

similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills ...

with reverse ETL and moving data between warehouses and operational systems Strong understanding of APIs Familiarity with modern data engineering tools such as dbt, Airflow, Fivetran or Census Excellent stakeholder management skills If you're an experienced Senior Data Engineer who enjoys solving complex integration challenges, working with modern ...

data modeling, and data integrationSkilled in data manipulation, processing, and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTestProficiency with GitHub, GitHub Actions, and Azure DevOpsStrong communication and collaboration skills to align technical and business stakeholdersProven ability ...

pipelines Strong programming skills in Python and SQL or similar Experience with technologies such as Spark, Databricks, AWS, Azure, GCP and/or Airflow Strong focus on data quality, testing and reliability Solid software engineering fundamentals and high engineering standards Strong communication and collaborative skills Comfortable working with ambiguity ...

maintaining 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 ...

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 ...

contributors to deliver outcomesStrong commercial awareness, including experience contributing to scoping, estimation and proposal developmentNice to haveSnowflake ecosystem experience with tools such as dbt, Airflow/Dagster, Matillion/Fivetran, Kafka/Kinesis/Event Hubs or similarExperience with Snowflake capabilities such as Snowpark, Streams & Tasks, Dynamic Tables, Data ...

ADLS, and Azure Functions. Proven track record of designing and implementing metadata‐driven data pipelines. Deep expertise in orchestration and data workflow automation e.g. Airflow, DBT. Strong understanding of CI/CD practices for data engineering. Experience with infrastructure as code (Terraform, Bicep, or ARM templates) (preferred). Solid ...

data services, including ADF, ADLS, and Azure Functions.Proven experience designing and implementing metadata-driven data pipelines.Strong understanding of orchestration and data workflow automation, e.g. Airflow, DBT, Spark Declarative Pipelines.Strong understanding and practical application of CI/CD practices for data engineering.Experience contributing to technical design discussions and architectural decisions.Good ...

including ADF, ADLS, and Azure Functions. Proven experience designing and implementing metadata-driven data pipelines. Strong understanding of orchestration and data workflow automation, e.g. Airflow, DBT, Spark Declarative Pipelines. Strong understanding and practical application of CI/CD practices for data engineering. Experience contributing to technical design discussions ...

content operations, or omnichannel marketing technology Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Knowledge of data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworks Exposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied use cases Experience in pharmaceutical, life sciences ...

chain, content operations, or omnichannel marketing technologyExperience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)Knowledge of data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworksExposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied use casesExperience in pharmaceutical, life sciences, or highly ...

Analytics Engineering, Data Engineering, or BI Development (or equivalent academic experience). Hands-on dbt experience, ideally. Hands-on orchestration experience, with tools like Airflow or Dagster. Strong SQL and a good grasp of data modelling patterns. Experience with a modern cloud data warehouse, such as Snowflake or BigQuery. ...