1 to 25 of 65 Remote Permanent Apache Airflow Jobs

automation to ensure successful project delivery, adhering to client timelines and quality standards. Implement and manage real-time and batch data processing frameworks (e.g., Apache Kafka, Apache Spark, Google Cloud Dataproc) in line with project needs. Build and maintain robust monitoring, logging, and alerting systems for client projects … languages like Python, Bash, or Go to automate tasks and build necessary tools. Expertise in designing and optimising data pipelines using frameworks like Apache Airflow or equivalent. Demonstrated experience with real-time and batch data processing frameworks, including Apache Kafka, Apache Spark, or Google Cloud Dataflow. ...

Responsibilities Design, develop, and maintain robust data pipelines and ETL processes. Build and optimise data workflows using Python . Manage workflow orchestration with Apache Airflow (MWAA) . Perform data testing, validation, and produce data quality reports. Conduct data exploration and analysis to understand data structures prior … experience coding in Python . Solid understanding of ETL concepts and data pipeline architecture. Knowledge of data lakes and associated architectures. Experience with Apache Airflow (MWAA) . Familiarity with AWS Athena/PySpark (Glue) . If you would like immediate consideration, please send me an updated CV/ ...

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data ...

similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills ...

Java and Spring or are willing to learn on the job. Have strong familiarity with SQL Experience with the following tools and frameworks: Apache Airflow and or data pipelines. Celery FastAPI and/or Flask Postgres (AWS Aurora Ideally) DynamoDB Have experience working in the FinTech industry, particularly ...

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data ...

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data ...

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data ...

Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to £60,000 per annum + benefits Hybrid working ...

Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data and model drift, and how to monitor ...

modular, reusable transformations using SQL and Python. Implement CI/CD pipelines and manage deployments via Git. Automate workflows using orchestration tools such as Airflow or dbt Cloud. Configure and optimise Snowflake warehouses for performance and cost efficiency. Required Skills & Experience 7+ years in data engineering roles. 3+ years ...

modular, reusable transformations using SQL and Python. Implement CI/CD pipelines and manage deployments via Git. Automate workflows using orchestration tools such as Airflow or dbt Cloud. Configure and optimise Snowflake warehouses for performance and cost efficiency. Required Skills & Experience 7+ years in data engineering roles. 3+ years ...

cloud platform (Azure, AWS or GCP). Exposure to big data technologies such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern ...

using best practices in schema design and data governance. Contribute to ETL/ELT development, testing, and automation using tools such as Python, SQL, Airflow, or Azure Data Factory. Collaborate closely with analysts, scientists, and architects to ensure data solutions meet business needs. Participate in Agile delivery teams, including ...

with CI/CD pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design Degree in STEM, or similar ...

with CI/CD pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design Degree in STEM, or similar ...

analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch … e.g., Azure Synapse, AWS Redshift, Google BigQuery ) with legacy systems, ensuring performance and scalability. Deep knowledge of ETL/ELT processes , leveraging tools like Apache Airflow, dbt, or Informatica , with a focus on ensuring data quality, lineage, and integrity across the data lifecycle. Practical expertise in data ...

deliver high-quality, reliable data. Governance & Quality: Use Dataplex for cataloguing, classification, and governance; enforce data standards and validation. Automation & Orchestration: Design workflows in Apache Airflow and automate data quality checks, schema changes, and lifecycle processes. Continuous Improvement: Champion best practices, mentor junior engineers, and push for scalable … Dataproc, Dataplex. Strong development skills in Java and Python. Experience with weblog ingestion & processing, both real-time and batch. Solid hands-on use of Apache Airflow. Familiarity with AWS Kinesis Firehose for log/data ingestion. Knowledge of data governance, metadata management, and stewardship. Comfort working with clickstream/ ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...