11 of 11 Permanent Apache Airflow Jobs in Bolton

data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security More ❯

advantage in database technologies used for analytics: SQL Server, Snowflake, Azure Synapse, Oracle, and Teradata Experienced in ELT orchestration tools: Azure Data Factory, SSIS, Apache Airflow, Informatica, and Talend (nice-to-have) Native-level or Proficient-level English speaker. YOU WANT TO Be part of a team of More ❯

tech Shape reusable data engineering patterns Communicate clearly with both technical and non-technical stakeholders Scope and evolve solutions alongside clients Tech: Snowflake, DBT, Airflow, Azure Data Factory Python, Spark, SQL Cloud (Azure, AWS, or GCP) Power BI, Tableau, Looker Modern architecture concepts Why Join? Remote-first, with a More ❯

engineering Experience building and optimising data pipelines and workflow orchestration A keen eye for data accuracy, performance, and scalability Bonus: Familiarity with tools like Airflow , dbt , or similar More ❯

Terraform or CloudFormation) Solid understanding of testing frameworks and version control systems (e.g. Git) Nice to Have: Experience with data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated More ❯

engagement and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. More ❯

the infrastructure provisioning • Set up infrastructure security • Implementation of IAM policy and permissions for applications and GitHub • Changes of environment variables for applications and Airflow DAGS If you are interested please hit apply with your updated CV and we will arrange a call to further your application. More ❯

Gateway, and EventBridge • Work with DynamoDB, Aurora Serverless, and S3 for cloud-native data solutions • Collaborate with frontend (Vue.js) and data platform engineers (Snowflake, Airflow) • Contribute to CI/CD pipelines, observability, and day-2 operational tooling • Partner with product and architecture teams to translate customer needs into working … able to interface confidently with both technical and non-technical audiences Bonus Experience • Familiarity with IaC frameworks (CloudFormation, Terraform, SAM) • Exposure to Snowflake, DBT, Airflow, or cost analytics/data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native More ❯

Engineer will have the following skills and experience: Ability and experience interacting with key stakeholders Strong experience in SQL/Python Good understanding of Airflow/DBT Experience with GCP/AWS Background in CI/CD THE BENEFITS: You will receive a salary, dependent on experience. Salary is More ❯

deployment. Key Responsibilities Design, build and maintain cloud-based data platform infrastructure (AWS, Azure, or GCP) Deploy and manage modern data tools (e.g. DBT, Airflow, Snowflake) Implement Infrastructure as Code using Terraform Automate deployment pipelines using CI/CD tools, preferably Azure Pipelines Ensure platform stability, scalability, and performance … Infrastructure as Code expertise using Terraform CI/CD experience (Azure Pipelines preferred) Docker and Linux tooling Exposure to modern data tools (e.g. DBT, Airflow, Snowflake, Redshift) Agile delivery environment experience More ❯