76 to 100 of 409 Apache Airflow Jobs in England

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. ...

workflows Skills and experience: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end‐to‐end data modelling experience Experiencebuilding batch and real-time data integrations Hands-onCICD skills with Git, Jenkins or similar ...

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. ...

Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/CD, version control, and infrastructure as code Experience within financial services, consulting, or risk environments What’s on Offer Opportunity to make an impact from ...

Strong Python and SQL skills, with experience building production-grade data pipelines Data Platform Experience: Hands-on experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments (preferably AWS) Engineering Best Practice: Knowledge of CI/CD, testing, version control and infrastructure as code Data Quality & Governance ...

MarTech, and marketing teams to align data solutions with business needsRequirementsStrong 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 ...

experience using Snowflake. Proficiency in Python (or a comparable language) for building data pipelines. Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka. You have strong attention to detail and analytical, organizational, and problem-solving skills. You’re an independently motivated person with ...

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 ...

programming experience with Python/PySpark along with proficiency in SQL. Extensive experience working with ETL and ELT frameworks and orchestration tools such as Airflow and dbt. Experience building robust data models on cloud platforms such as Databricks on Azure and implementing automated data quality frameworks and related controls. ...

/T‐SQL with proven experience refactoring and optimising complex logic Hands‐on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python ...

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. ...

analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow).Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI.BenefitsWhat ...

analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/ ...

experience you need Strong experience in Data Engineering and cloud-based data platforms. Hands-on knowledge of Databricks, Spark, SQL and Python. Understanding of Airflow, Terraform and modern engineering practices. Experience building large-scale batch and real-time data pipelines. Strong problem-solving and decision-making skills. Ability ...

knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. Container-based deployment experience using Docker ...

certifications are a plus!). Containerization: Familiarity with Docker or the concept of containerized applications. Data Tools: Exposure to any data processing tools like Airflow, Kafka, or Spark. Infrastructure as Code: A desire to learn tools like Terraform/Terragrunt. Financial Tech Interest: An interest in Open Banking ...

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 ...

experience you need Strong experience in Data Engineering and cloud-based data platforms. Hands-on knowledge of Databricks, Spark, SQL and Python. Understanding of Airflow, Terraform and modern engineering practices. Experience building large-scale batch and real-time data pipelines. Strong problem-solving and decision-making skills. Ability ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

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 ...

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 ...

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 ...