21 of 21 Contract Apache Airflow Jobs

concepts and best practices Familiarity with CI/CD processes and DevOps practices Preferred Qualifications Snowflake certifications (SnowPro Core, Advanced) Experience with orchestration tools (Airflow, Prefect, etc.) Knowledge of data governance and compliance frameworks Experience with real-time streaming tools (Kafka, Kinesis) Experience supporting BI tools such as Tableau ...

pipelines Proficiency with at least one cloud platform: Amazon Web Services (AWS) Microsoft Azure (Azure) Google Cloud Platform (GCP) Experience with orchestration tools (e.g., Apache Airflow) Experience with version control (e.g., Git) Solid understanding of data warehousing concepts and dimensional modeling To apply for this role please submit ...

Skills & Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. ...

/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: Kafka/Kinesis, Airflow, CodePipeline. BI tools (Power BI/Tableau). Docker/OpenShift; metadata driven pipelines. 3-8+ years Data Engineering experience. Cloud data engineering ...

detailed technical design. Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such … MongoDB. Proven delivery of streaming pipelines and real-time data processing solutions. Improved job efficiency and reduced runtimes through Apache Spark optimisation and development. Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines. Delivered streaming pipelines and real-time data processing solutions. Experience replacing legacy ETL tools ...

detailed technical design. Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such … MongoDB. Proven delivery of streaming pipelines and real-time data processing solutions. Improved job efficiency and reduced runtimes through Apache Spark optimisation and development. Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines. Delivered streaming pipelines and real-time data processing solutions. Experience replacing legacy ETL tools ...

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 ...

tasks, working with the Snowflake Data Marketplace, Performance Tuning and Knowledge of ETL/ELT pipelines and data integration tools (e.g., Informatica, Matillion, DBT, Airflow). Experience with APIs, stored procedures, and automation scripts is a plus. Strong analytical and problem-solving mindset. Clear communicator, able to work across ...

cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data pipelines or analytics platforms Experience using UML/SysML Security ...

Required Data Integration & Ingestion Data Manipulation & Processing GitHub, GitHub Actions, Azure DevOps Azure Data Factory Databricks SQL Database Azure Synapse Stream Analytics AWS Glue Apache Airflow AWS Kinesis Amazon Redshift SonarQube PyTest Optional/Nice to Have Experience managing projects or running Scrum teams Experience with BPC/ ...

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 ...

data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous ...

Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. Experience with automation and orchestration tooling such as UiPath, Airflow or Kubeflow. Experience and Capability Strong experience delivering AI or automation solutions within enterprise environments. Ability to work with cross functional teams and translate ...

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 ...

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 ...

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

Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge of automation technologies including RPA platforms (e.g. UiPath) and orchestration tools (Airflow, Kubeflow). Soft Skills: Excellent problem-solving and analytical capabilities. Strong written and verbal communication skills. Effective stakeholder management, with the ability to liaise ...

including managing dependencies and build pipelines without internet access Proven background building APIs for data enrichment services Orchestration & data pipeline experience with Prefect or Airflow, and K8s or Swarm Configuration and automation of business workflow tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies ...

Gateway, and Kinesis. Integrating third-party APIs into the data platform and transforming data for CRM delivery. Migrating R-based data streams into modern Airflow-managed Python/DBT pipelines. Ensuring observability and reliability using CloudWatch and automated monitoring. Supporting both BAU and new feature development within the data … services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with third-party API integration and scalable data delivery methods. Excellent communication and the ability to work ...

training, validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems. Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure DevOps). Contribute … code (Terraform). Collaborative team player with excellent communication skills. Technical Stack: Languages: Python (primary), SQL, Bash Cloud: Azure, AWS Tools: MLflow, Azure ML, Airflow, Docker, Fargate, FastAPI Data: Snowflake, Delta Lake, Redis, Azure Data Lake Infra & Ops: Terraform, GitHub Actions, Azure DevOps, Grafana, Azure Monitor Desirable skills/ ...

than headcount substitution, aligning with Outside IR35 status . Key responsibilities include: Designing, building, and delivering data pipelines and orchestration workflows using Prefect or Airflow Developing Python-based services and APIs for data ingestion and enrichment Building and deploying containerised workloads using Docker and Kubernetes (or Swarm) Managing dependencies … UKSV DV clearance (minimum 12 months remaining) Strong Python development experience in secure or restricted environments Proven delivery of data pipelines using Prefect or Airflow Hands-on experience with Docker, Kubernetes , and container orchestration Experience operating in air-gapped systems , managing builds without external connectivity Strong understanding of data ...