22 of 22 Contract Apache Airflow Jobs

with Kimball methodology, dimensional modelling, and star schema design. Proven experience with Redshift or Snowflake. Strong background in cloud-based data environments (AWS preferred). Hands-on experience with Airflow for orchestration. (Nice-to-have) Python for data engineering tasks. (Nice-to-have) Optimisation for BI tools such as Power BI or Looker. Soft skills: Strong collaboration with both More ❯

Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with a technical lead in a service-based and serverless architecture Essential Python Engineer skills and experience More ❯

ideally within consumer tech, logistics, or e-commerce. Strong proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be part More ❯

architecture. GraphQL (Working) - queries, mutations, schema awareness. SQL (PostgreSQL) (Working) - schema design, queries, migrations. JavaScript (Working) - legacy code and Jest tests. Go (Awareness) - infrastructure tooling and services. Python (Awareness) - Airflow DAGs and automation scripts. Infrastructure & Cloud AWS (EKS, S3, IAM) Kubernetes fundamentals (pods, services, ingress, Istio, Traefik). Containerization with Docker/containerd.Observability Collaboration Tools Jira, Confluence, Slack, Figma. More ❯

in AWS environments * Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda * Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions) * Background in energy, trading, or financial markets is a strong plus * Excellent knowledge of Python, SQL, and data governance frameworks * Experience working with stakeholders in fast-paced More ❯

in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and data governance frameworks* Experience working with stakeholders in fast-paced More ❯

. NoSQL (e.g., MongoDB and Firestore). SQL querying (e.g., BigQuery, Snowflake), including the ability to work with complex data structures and very large data volumes. Orchestration services (e.g., Airflow, Luigi, Cloud Compose). Proactive, independent, responsible and attentive to detail. Eager and able to learn, analyse, resolve problems, and improve the standard of BVGroup data infrastructure. Degree in More ❯

. NoSQL (e.g., MongoDB and Firestore). SQL querying (e.g., BigQuery, Snowflake), including the ability to work with complex data structures and very large data volumes. Orchestration services (e.g., Airflow, Luigi, Cloud Compose). Proactive, independent, responsible and attentive to detail. Eager and able to learn, analyse, resolve problems, and improve the standard of BVGroup data infrastructure. Degree in More ❯

Cloud Platform (GCP) and cloud data tools Background in CRM systems and customer data structures Understanding of data warehousing concepts and cloud architecture Experience with ETL tools and frameworks Airflow, Git, CI/CD pipeline Data Insights reporting experience Competent with real-time data processing and streaming technologies Proficiency in Tableau or other data visualisation tools is desirable ** PLEASE More ❯

Cloud Platform (GCP) and cloud data tools * Background in CRM systems and customer data structures * Understanding of data warehousing concepts and cloud architecture * Experience with ETL tools and frameworks Airflow, Git, CI/CD pipeline * Data Insights reporting experience * Competent with real-time data processing and streaming technologies * Proficiency in Tableau or other data visualisation tools is desirable ** PLEASE More ❯

on development/engineering background Machine Learning or Data background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯

systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning, and advanced fine-tuning (LoRA, QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep knowledge of async More ❯

Background in high-volume, distributed processing systems. Familiarity with DevOps tools such as GitHub Actions or Jenkins. Solid grounding in modern engineering principles and full-stack development. Bonus Skills: Airflow, Kafka/Kafka Connect, Delta Lake, JSON/XML/Parquet/YAML, cloud-based data services. Why Apply? Work for a global payments innovator shaping the future of More ❯

Background in high-volume, distributed processing systems. Familiarity with DevOps tools such as GitHub Actions or Jenkins. Solid grounding in modern engineering principles and full-stack development. Bonus Skills: Airflow, Kafka/Kafka Connect, Delta Lake, JSON/XML/Parquet/YAML, cloud-based data services. Why Apply? Work for a global payments innovator shaping the future of More ❯

Engineer for our client within defence/digital transformation. The ideal candidate will be able to solve data engineering problems independently whilst delaing with non-technical SMEs. Requirements: Python, Airflow, Glue & Informatica. SC cleared Details: 6 months Outside IR35 Hybrid/London ASAP start date If this role is of interest, please get in touch. Reference: AMC/DJA More ❯

My client within Venture capital is looking for a data engineer to join their team.The role will be working maintaining & modernising data pipelines. Requirements Python Azure, CI/CD Airflow, DBT Docker GitHub, Azure DevOps LLM Experience desirable Contract: 12 Months Rate: £500-600 Via Umbrella Location: London - 3 days per week in the office. If this role is More ❯

client within Venture capital is looking for a data engineer to join their team. The role will be working maintaining & modernising data pipelines. Requirements Python Azure, CI/CD Airflow, DBT Docker GitHub, Azure DevOps LLM Experience desirable Contract: 12 Months Rate: £(Apply online only) Via Umbrella Location: London - 3 days per week in the office. If this role More ❯

. Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive, detail-oriented, and eager to contribute within a greenfield project environment. Nice to Have: Experience with Airflow/Astro . Prior work with notebook-based development environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community More ❯

Experience in ELT processes and best practices for cloud-based data warehousing. Knowledge of performance tuning techniques for optimising BigQuery queries and costs. Familiarity with cloud services (GCP, Terraform, Airflow, etc.) and their integration with BigQuery. HOW TO APPLY Please register your interest by sending your CV via the apply link on this page. More ❯

in Python, ensuring scalability and reliability. Extract data from multiple external sources via APIs, and where necessary, web scraping/browser automation (Playwright, Selenium, Puppeteer). Orchestrate pipelines using Airflow, and manage data quality workflows. Model and transform data in SQL and Snowflake to create clean, analytics-ready datasets. Ensure data quality, observability, and governance across workflows. Collaborate closely … who bring: Strong hands-on experience with Python for API ingestion, pipeline automation, and data transformation. Solid SQL skills with Snowflake (or similar cloud data warehouses). Experience with Airflow or other orchestration tools. Knowledge of data modelling, warehouse performance optimisation, and governance. Cloud experience (AWS preferred; Terraform/Docker a plus). Nice-to-have: browser automation/ More ❯

methodology and a Medallion architecture (bronze, silver, gold layers). Develop and maintain DBT projects and configure incremental loads with built-in unit testing. Support data pipeline orchestration with Airflow and work with AWS cloud tools. Help deliver a production-ready Data Mart with star schema design to power business reporting and dashboards (PowerBI experience a plus). Skills … Experience: Strong SQL expertise and hands-on experience with DBT. Familiarity with Kimball dimensional modelling concepts. Experience working with cloud data warehouses such as Redshift or Snowflake. Knowledge of Airflow for workflow management. Comfortable in AWS environments and data orchestration. Bonus: Python programming skills and familiarity with dashboarding tools. Contract Details: Duration: 3 months Rate: £450/day onside More ❯

management disciplines, including data integration, modeling, optimisation, data quality and Master Data Management. Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB). Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines. Have worked on migration projects and some experience with management systems such as SAP More ❯