26 to 50 of 237 Apache Airflow Jobs in the UK

Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) A little bit more about us... ...

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 ...

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 ...

scale data platforms and end-to-end technical solutions within enterprise environments. \n Strong hands-on experience with open-source data technologies such as Apache Spark, Trino, Airflow, Apache Superset, or similar platforms. \n Demonstrable security architecture expertise, including threat modelling, IAM (RBAC/ABAC), encryption, secrets ...

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 ...

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 ...

maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible … ideally within AWS. Data modelling, transformation and orchestration methodologies. Delivering high-quality, well-documented and thoroughly tested data solutions. Experience with Snowflake, DBT and Apache Airflow. Interest in AI and emerging technologies within the data engineering landscape. THE BENEFITS: You will receive a salary ...

with dbt or Airbyte is preferred. Experience developing production Spark or Hadoop applications Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/Cloud Composer Familiarity with modern DataOps (e.g. quality eng, testing, pipeline deployments etc) practices and IaC (e.g. Terraform) Familiarity with ...

/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

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 ...

certifications) with Snowflake and/or MS Fabric experience a bonus. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life. Hands-on DataOps experience (eg. CI/ ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

Python skills * Hands-on experience designing and developing ETL pipelines and data workflows * Experience designing and maintaining data pipelines using technologies such as Apache Airflow or Spark * Experience working with cloud platforms including AWS, Azure or GCP * Strong understanding of data modelling, integration and governance principles * Experience working ...

Frequency) will be nice. Knowledge of Development Practices/Pipeline/Methodologies will be needed. Nice to Have Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar. Active use of modern LLMs (Claude, GitHub Copilot) to accelerate development and pioneer AI-assisted coding practices within ...

Frequency) will be nice. Knowledge of Development Practices/Pipeline/Methodologies will be needed. Nice to Have Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar. Active use of modern LLMs (Claude, GitHub Copilot) to accelerate development and pioneer AI-assisted coding practices within ...

self‐motivated, inquisitive mindset and a methodical, agile approach to problem‐solving Solid Linux administration and networking skills, plus Git‐based workflows Familiarity with Apache Airflow, Dask and JupyterHub Experience with modern build systems (especially Bazel) and CI/CD pipelines. We love hearing from anyone inspired ...

designing enterprise-scale cloud data platforms using Azure, AWS, or Google Cloud. Expertise with technologies such as Databricks, Azure Data Factory, Microsoft Fabric, Snowflake, Airflow, Spark, SQL, and Python. Proven experience building scalable ETL/ELT pipelines and modern data architectures. Between £600 – £900 Per day inside IR35 This ...

data platforms, migrating legacy environments into cloud-native solutions using the latest AWS and Snowflake technologies. Key skills: Snowflake, Teradata & Informatica Python & SQL AWS, Airflow & DBT GitHub & CI/CD ETL & Data Warehousing Control-M, Unix/Linux Data Modelling & Performance Optimisation You'll design and optimise scalable data ...

/or Python, and the ability to write complex, efficient SQL, ideally on cloud platforms (e.g. Snowflake). Orchestration & DataOps: Experience with orchestration (e.g. Airflow), git and CI/CD, and an appreciation of FinOps. Cloud: Experience with cloud services, ideally AWS. Agile ways of working: Understanding of Agile ...