11 of 11 Remote/Hybrid Apache Airflow Jobs in the South East

data warehousing (Snowflake, Redshift, BigQuery or Synapse) Understanding of data modelling and CI/CD Desirable Spark, Databricks or Kafka Orchestration tools such as Airflow or dbt Infrastructure as Code (Terraform) Experience supporting ML workloads What's On Offer Competitive salary and bonus Hybrid working Pension, private healthcare, holiday ...

Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with ...

Kanban. Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences. Unfortunately ...

Snowpark Iceberg Tables Secure Data Sharing Snowflake Cortex Data Integration Fivetran SnapLogic Enterprise SaaS integration patterns Data Transformation & Orchestration dbt Cloud/dbt Core Apache Airflow (MWAA) CI/CD pipelines Event-driven orchestration Data Governance & Observability Collibra Data Catalogue Data Lineage Data Governance Frameworks Acceldata Data Observability ...

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 ...

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 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 ...

Data Engineer within GCP. Experience building production-grade data pipelines and platforms. Expertise with technologies such as BigQuery, Dataflow, Cloud Composer/Airflow, Pub/Sub and Cloud Storage. Strong SQL and data engineering fundamentals. An engineering mindset and a passion for solving problems. Confidence working independently while remaining ...

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 ...

deploying, monitoring and maintaining ML systems at scale Ability to balance hands-on engineering with people management responsibilities Experience with AWS, Snowflake, MLflow, Airflow or similar tooling would be advantageous SALARY AND BENEFITS £110,000 - £125,000 base salary Annual bonus Hybrid working model Private medical insurance Enhanced family ...

migrate data sets into their AWS Snowflake platform. Designing and implementing dbt models that power clean, consistent metrics. Buidl out orchestartion pipelines using Airflow Creating clear documentation for dashboards, metrics, and models. Ensuring optimal performance and cost efficiency across Snowflake Supporting a stakeholder-first approach to data usability … access. KEY SKILLS AND REQUIREMENTS Extensive experience operating within Snowflake environments Airflow for data orchestration. Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. Strong communication skills with the ability to translate complex needs into elegant data solutions. Focus on usability, documentation, and data ...