22 of 22 Apache Airflow Jobs in the South East

automate workflows, and deliver secure, high-performance data platforms using AWS-native technologies. Key Responsibilities Develop and maintain data pipelines using Python , SQL , and Apache Airflow . Build and manage containerised data applications using Docker . Design and optimise solutions using AWS services including Redshift, OpenSearch, Lambda, Glue … data governance, security, and best practice standards. Essential Skills Active Security Clearance Strong experience with Python and SQL . Hands-on experience with Apache Airflow and Docker . Proven experience with AWS data services, including Redshift, OpenSearch, Lambda, Glue, Step Functions, and Batch . Experience with Git , GitLab ...

delivery setting. Proven experience across data analysis, extraction, transformation, and loading, with hands-on knowledge of relevant technologies such as Spark, Python, Kafka, SQL, Airflow, and cloud-based ETL services. Experience designing schemas for data warehouses and data marts, assessing data quality issues, and integrating quality checks into pipelines. ...

Experience building scalable data pipelines and distributed data platforms Knowledge of Kafka, Spark and modern data processing technologies Experience with orchestration tools such as Airflow, Dagster or Prefect Hands-on experience with Docker, Kubernetes and containerised deployments CI/CD experience with a focus on production ownership and reliability ...

Requirements 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 ...

Python, or equivalent scripting languages used in data engineering. Experience with cloud data platforms and orchestration tools such as GCP, Snowflake, Airflow or Azure Data Factory. Good understanding of data modelling, data warehousing and integration patterns. Experience embedding data quality, validation and lineage controls into engineering processes. A practical ...

need: Strong Python, PySpark, SQL and Databricks or Snowflake experience AWS cloud data engineering expertise Experience building scalable batch and real-time data pipelines Airflow, CI/CD, Git and modern engineering practices Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure ...

distributed processing frameworks like SparkSQL Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable ...

roles Strong Python; experience with distributed data systems Relational DB experience (PostgreSQL preferred) NoSQLExposure to vector databases (Qdrant, Milvus, pg vector) Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup bac kground Why Join Build the data foundations ...

preparation specifically geared toward AI model integration Technical Fluency: A strong conceptual understanding of modern data ecosystems, data warehousing, pipeline orchestration tools (e.g., dbt, Airflow), and data governance standards Cross-Functional Communication: Outstanding stakeholder management skills, with a demonstrated ability to foster collaboration between technical developers and non-technical ...

experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools• Data quality, governance and performance optimisation• Working well with technical and non-technical teamsThe senior role needs someone with ...

Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...

approaches, fit to the use case Build and maintain transformation layers in dbt (or equivalent), with appropriate testing, documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement data quality, testing … Python skills (or Scala/Java where relevant) for pipeline development and tooling Hands-on experience with dbt or equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience ...

orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code Owned a project across a whole ...

Python and SQL, familiarity with Scala or R advantageous Experience with data orchestration and workflow management tooling such as Azure Data Factory or Airflow Please see full job description attached. What you can expect from us We believe doing your best work starts with feeling supported both professionally ...

cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats ...

Python, Bash, Ansible, Puppet) Familiarity with containerisation (Docker, Kubernetes) Nice to have: Experience with CI/CD pipelines (GitLab, Jenkins) Exposure to data tooling (Airflow, NiFi, Elasticsearch) Experience with Cloudera/Hadoop ecosystems (Spark, Hive, HDFS) Why join? Work on modern data platforms at scale Collaborate with data scientists ...

designing and developing scalable data pipelines Proficiency in SQL, Python, Databricks and/or Azure technologies Experience working with tools such as Git and Airflow Strong troubleshooting skills with the ability to test, maintain and improve data platforms A proven track record of delivering high-quality, dependable data solutions ...

We are recruiting for an Analytical Engineer on behalf of one of the UK's most recognised and celebrated personal lines insurers. The successful candidate will be working alongside a talented team of Data & AI ...

data and performance insights What We're Looking For Strong background in data analytics Advanced SQL skills and experience building data pipelines (e.g. DBT, Airflow) Experience with marketing analytics tools (e.g. Google Analytics, GTM, Braze, Appsflyer, Firebase) Proven experience running A/B tests and defining KPIs and attribution ...

commercial experience in analytics within a marketing or digital environment Advanced SQL skills and experience building data pipelines with tools such as DBT or Airflow Experience with marketing analytics platforms such as Google Analytics, GTM, Braze, Appsflyer, or Firebase Strong understanding of experimentation, A B testing, and attribution modelling ...

This is a great opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build … opportunity for the role to go permanent. What You'll Do: Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow; Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality ...

manage data models, schema structures and data reconciliation processes across multiple source systems. Build, maintain and improve orchestration frameworks using tools such as Airflow and dbt. Develop APIs from scratch to support data access, integration and product functionality. Work closely with AI engineers, machine learning specialists and software developers … schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...