76 to 100 of 312 Apache Airflow Jobs in London

looking for in you: 3+ years of experience You have an understanding of developing ETL pipelines using Python frameworks such as luigi or airflow; You have experience with the development of Python-based REST APIs/services and their integration with databases (e.g. Postgres); You are familiar with ...

wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure as Code Modern data platforms and distributed ...

environments. Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar ...

hands-on familiarity with vessel-tracking data, its structure, quirks, and limitations. SQL— strong proficiency, including query optimization on large datasets. Nice-to-Haves Apache Airflow (or equivalent orchestration) for scheduling and managing pipelines. AWS experience (Azure or GCP equally welcome). Machine Learning experience, particularly applied ...

pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift ...

Oracle databases. Experience designing and supporting ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of Autosys and Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift ...

practice and mentoring less experienced engineers. Strong stakeholder management and communication skills. Experience working in a regulated environment. Required Tech Stack Python DBT Snowflake Airflow Azure Terraform Nice to Have Experience with Kubernetes/AKS Infrastructure and platform modernisation projects Strong CI/CD and DevOps practices #J ...

offer the following skills & experience. Strong experience in Python, PySpark/Spark, Databricks, Azure Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest. Experience designing, building and supporting scalable data pipelines and data products in cloud environments. Experience developing and maintaining REST APIs using frameworks ...

Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) #J-18808-Ljbffr ...

components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling ...

significant commitments to other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs ...

like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practicesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

experience with data analysis, data modelling, and quality assurance techniques Proficiency in SQL and Python Experience developing Python data pipelines with orchestrators such as Airflow Experience making data available in data science and data visualisation tools such as Databricks and Power BI/Fabric Experience extracting data from various ...

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 ...

every day. Extensive experience in SQL/Python/Pyspark and/or other languages relevant to data processingExtensive experience in dbt and ideally Airflow (or other orchestration tools)Extensive experience in Entity-Relationship modelling and Dimensional modellingExperience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud ...

agile environments at scale Domain expertise in retail, hospitality or consumer technology is valuable Familiarity with modern data stack tooling (e.g. Snowflake, dbt, Looker, Airflow, or #J-18808-Ljbffr ...

using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling DBT for data transformation Montecarlo for monitoring The platform here encompasses the end-to-end, first for real time/streaming use cases ...

. Knowledge of regulatory reporting and treasury operations in retail bankingExposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/LuigiHave previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum)The Interview Process: Our interview process involves ...

implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural decisions ...

Backstage experience - software catalog configuration, scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context* Experience ...

Data Engineer within GCP environments Hands-on experience with BigQuery, Dataflow and Spanner Strong programming capability in Python, Java or Scala Experience with Apache Beam/Dataflow and distributed processing frameworks Experience designing and managing ETL/ELT pipelines Solid understanding of data modelling and database design Experience with … workflow orchestration tools such as Apache Airflow Strong understanding of data governance, security and scalability Desirable Skills for the GCP Data Engineer: Experience with Pub/Sub, Cloud Composer or Cloud Data Fusion Exposure to CI/CD, DevOps and Infrastructure as Code Experience with real-time streaming ...

operating ETL/ELT pipelines and large‐scale data architectures. Hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...

skills; experience with Oracle databases . Experience designing and supporting ETL/ELT pipelines and data quality frameworks . Working knowledge of Autosys& Apache Airflow Experience with CI/CD tools (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift) Familiarity with AWS S3 for large-scale data storage. ...