1 to 25 of 31 Contract Apache Airflow Jobs

technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program Leadership to deliver business outcomes at scale. This is a player-coach role: you will … Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition, and delivery plan-including ...

Platform DevOps team to build and run highly reliable CI/CD pipelines and infrastructure for the bank’s modern data estate (AWS + Airflow + Databricks). Key Responsibilities Design, build and maintain Infrastructure as Code using CloudFormation and AWS services Manage and scale Apache Airflow … call rotation and incident resolution Essential Skills & Experience 5+ years as a DevOps/Platform Engineer Strong AWS experience + CloudFormation Production experience with Apache Airflow (MWAA) Lambda , Linux + Bash scripting CI/CD expertise (Git, Jenkins, GitHub Actions) IaC and GitOps practices Nice to Have Terraform ...

Platform DevOps team to build and run highly reliable CI/CD pipelines and infrastructure for the bank’s modern data estate (AWS + Airflow + Databricks). Key Responsibilities Design, build and maintain Infrastructure as Code using CloudFormation and AWS services Manage and scale Apache Airflow … call rotation and incident resolution Essential Skills & Experience 5+ years as a DevOps/Platform Engineer Strong AWS experience + CloudFormation Production experience with Apache Airflow (MWAA) Lambda , Linux + Bash scripting CI/CD expertise (Git, Jenkins, GitHub Actions) IaC and GitOps practices Nice to Have Terraform ...

architecture to support data consumption for reporting systems, operational applications, and analytics platforms. Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow. Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy. Support hospitality analytics use cases, including guest … predictive analytics, recommendation engines, and customer behaviour analytics. Ability to design AI-ready data platforms for future analytics use cases. Preferred Skills Experience with Apache Airflow for pipeline orchestration. Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows. Experience with data governance, metadata management ...

architecture to support data consumption for reporting systems, operational applications, and analytics platforms. Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow. Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy. Support hospitality analytics use cases, including guest … predictive analytics, recommendation engines, and customer behaviour analytics. Ability to design AI-ready data platforms for future analytics use cases. Preferred Skills Experience with Apache Airflow for pipeline orchestration. Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows. Experience with data governance, metadata management ...

data quality, reliability, and performance optimisation Support secure and compliant data practices Requirements 5+ years Data Engineering experience Strong Python & SQL skills Experience with Airflow, Dagster, or similar orchestration tools Cloud experience (GCP) Strong understanding of data modelling & ETL/ELT GCP stack (BigQuery, Composer, Dataproc, etc.) Data governance ...

with dimensional modelling, star schemas, SCDs etc.Experience within regulated financial servicesDesirableExperience in pensions, asset management or institutional investingUnderstanding of performance measurement and attributionExposure to Airflow or dbtCloud platform familiarity (Azure or AWS)Knowledge of data governance best practiceAbout YouHighly detail-driven with a strong approach to data qualityComfortable operating ...

with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS and talent systems (e.g., Workday, BambooHR, Greenhouse, Lever, HiBob, Personio). Ability to work with ...

Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What ...

behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start and finish times Data ...

Overview Lead a team of Data Analysts and own the delivery of high-impact analytical products using modern data engineering tooling (AWS, Databricks, dbt, Airflow). You will bridge the gap between business stakeholders and the data platform. Key Responsibilities Lead and mentor a team of Data Analysts Build … maintain self-serve analytical assets using dbt models and Databricks Design and orchestrate analytical pipelines in Airflow Translate complex business requirements into actionable insights and dashboards Perform deep-dive analysis across Retail, Commercial, Risk and Marketing domains Ensure all deliverables meet strict data governance and regulatory standards Work closely ...

processes with strong monitoring, logging and error handling Develop and maintain data models to support reporting and analytics Manage workflow orchestration and scheduling (e.g. Airflow or similar) Support CI/CD, version control and deployments across dev, test and production environments Implement data quality checks, governance and documentation Collaborate ...

with Cloudera Data Platform (CDP) on AWS or recent Hadoop administration on similar platforms. AWS administration and platform management experience. Strong experience in Spark, Airflow, Apache Ranger, Impala (AWS CDK is a plus). Agile experience with Scrum, and tools including Jira, Slack. Familiarity with PowerBI, CI/ ...

architecture to support data consumption for reporting systems, operational applications, and analytics platforms. Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow. Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy. Support hospitality analytics use cases, including guest ...

understanding ML pipelines and models in a production setting. Direct experience with Google Cloud Platform, BigQuery, and associated tooling. Experience with workflow tools like Airflow or Kubeflow. Familiarity with dbt (Data Build Tool). Please send your CV for more information on these roles. Reasonable Adjustments: Respect and equality ...

MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have Experience in code testing (unit, integration, end-to-end tests) Strong data engineering ...

match/merge, survivorship, stewardship, integrations. Data integration: APIs/events, batch/streaming ingestion, CDC, lineage. Data engineering: data lake/lakehouse, orchestration (Airflow/MWAA), ETL/ELT (e.g., Glue), DQ frameworks. Discovery services: BI/analytics (Power BI/Tableau), ML feature pipelines, self-service data ...

team of 6–10 Data Engineers (onshore + offshore) Own the technical roadmap for the data platform (AWS + Databricks + dbt + Airflow) Architect scalable, cost-efficient and governed data solutions Drive best practices in engineering, testing, observability and documentation Act as senior technical point of contact … Experience 8+ years total experience with at least 3 years in a Lead/Principal Data Engineer role Expert-level AWS , Databricks , dbt and Apache Airflow Proven experience leading teams in a regulated financial services environment Strong stakeholder management and ability to translate business needs into technical solutions ...

with non-technical teams Experience working with operational or business process data Desirable: Experience with Zendesk or similar customer/operations platforms Familiarity with Airflow Python experience Experience working with operational data ...

with non-technical teams Experience working with operational or business process data Desirable: Experience with Zendesk or similar customer/operations platforms Familiarity with Airflow or similar orchestration tools Python experience for data processing or automation Experience working with operational, transactional, or workflow-driven datasets ...

background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series ...

experience (Lightdash, Looker or similar) Experience identifying automation opportunities within data workflows Strong stakeholder engagement skills (non-technical teams) Nice to Have Exposure to Airflow Python experience ...

MLOps tooling such as SageMaker, MLflow, or TFServing * Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV. ...

Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator) Strong Dataflow processing pipelines development & schedulers knowledge Deep understanding of Cloud Logging routing, sinks, exclusion filters Experience ...

client or similar public sector environments. Familiarity with DevOps practices and cloud-hosted platforms (AWS, Azure, SAS PaaS). Knowledge of scheduling tools - Airflow Exposure to SAS Migration Factory Delivery Models. All profiles will be reviewed against the required skills and experience. Due to the high number of applications ...