151 to 175 of 250 Apache Airflow Jobs

authentication patterns, and integration with enterprise systems.Data Engineering & PlatformsAbility to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents.Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals.Strong debugging instincts with imperfect ...

GitGood understanding of data management and data quality principles, with experience developing data quality checks or reportsPrior experience using the Bloomberg Terminal Experience with Apache Airflow or similar toolsFor more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice ...

infrastructure. Well versed and proven experience in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Longstanding experience ...

visit office 5 days a week. The ideal candidate: Extensive experience of software development & data engineering. Strong experience with Python & SQL. Experience with Airflow Experience with cloud platforms (AWS/Azure/GCP). If this sounds like an interesting opportunity to you, feel free to apply for this ...

experimentation, statistical analysis and performance measurement. Ability to influence senior stakeholders and translate analytics into commercial outcomes. Experience with tools such as BigQuery, dbt, Airflow, Git, Tableau or Looker is advantageous. Python experience is beneficial. What They Offer Up to £100,000 base salary plus bonus and benefits. Hybrid ...

given real ownership, exposure to experienced director level mentors & Senior Data Engineers, alongside the opportunity to grow towards senior-level responsibilities. Tech StackSpark | Airflow | Kubernetes | Azure | CubeJSWhat You'll Be DoingData Pipeline Development – designing & developing efficient, scalable & robust Data PipelinesSupport and main the data platform to ensure security, reliability ...

Python, APIs, and distributed systems. Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management. Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes. Experience working within AWS, GCP, or Azure environments. Previous mentoring or leadership experience with an interest in developing management ...

working in a collaborative, fast-paced environment Experience in regulated industries or scaling SaaS companies is a plus Exposure to data platforms (e.g., Snowflake, Airflow) advantageous What's On Offer Hybrid working (1 day onsite, Dublin City Centre) Competitive salary and performance-related bonus Pension and private healthcare Share ...

join our dynamic, expanding team. Over the last few years we’ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way.About Zapp:Zapp is London’s leading ...

join our dynamic, expanding team. Over the last few years we've built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way. About Zapp: Zapp is London ...

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle ...

LLMs, or automation technologies to improve business processes. Strong understanding of modern analytics and data platforms. Experience with the following would be beneficial: dbt, Airflow and Git. Looker or similar BI tools. Python for analysis or automation. Experience within fintech, financial services, or another regulated industry. What They Offer ...

Companys hybrid work from home policy. Qualifications Commercial GCP background including BigQuery, Dataform and GCS Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python Relational set-based processing through complex SQL queries Proven ability to leverage AI within a production workflow Background working within a Data ...

with data visualization tools such as Looker, Superset, PowerBI, or TableauExperience in automation and building data pipelines and working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrationsSoft Skills: Critical thinking: You're comfortable working through an open ...

Salesforce integrations).QualificationsWHAT YOU'LL BRINGYou are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Looker. You're comfortable owning analytics from data transformation through to delivering actionable insights. You are commercially minded. Able to translate your ...

Qualifications WHAT YOU’LL BRING You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Looker. You're comfortable owning analytics from data transformation through to delivering actionable insights. You are commercially minded. Able to translate your ...

software (e.g., Trino). Implementing and managing sophisticated identity federation solutions (e.g., Keycloak). Developing and operating large-scale data ingestion pipelines (e.g., using Airflow). Enhancing and automating deployment processes (CI/CD) using technologies like Kubernetes. Collaborate effectively within a team of experienced engineers, contributing ...

collaborating with product squads and business stakeholdersDevelop robust, production-quality software in Python and build large-scale data workflows using orchestration platforms such as Airflow, while driving technical execution across complex initiatives.Use expertise in cloud computing (AWS and Azure) to build and optimize AI infrastructureChampion ML governance, ensuring adherence ...

with product squads and business stakeholders Develop robust, production-quality software in Python and build large-scale data workflows using orchestration platforms such as Airflow, while driving technical execution across complex initiatives. Use expertise in cloud computing (AWS and Azure) to build and optimize AI infrastructure Champion ML governance ...

stack and multi-modal representation learning is a plusWe'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc. ...

field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership and influence – Track record of mentoring and coaching engineers, driving ...

field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership and influence – Track record of mentoring and coaching engineers, driving ...

quality Self-driven, motivated work ethic Energetic and enthusiastic personality What makes you stand out: IMC or another investment management qualification Experience with Apache Airflow Experience with Databricks Experience with asset management data Passion for design and architecture Why join our team: We help you be your best ...

platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure ...

given real ownership, exposure to experienced director level mentors & Senior Data Engineers, alongside the opportunity to grow towards senior-level responsibilities.Tech StackSpark | Airflow | Kubernetes | Azure | CubeJSWhat You’ll Be DoingData Pipeline Development – designing & developing efficient, scalable & robust Data PipelinesSupport and main the data platform to ensure security, reliability ...