1 to 22 of 22 Apache Airflow Jobs in the UK excluding London

support you. KEYWORDS: Python/Databricks/Data bricks/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Postgres/… Big Data/Python/Databricks/Data bricks/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Postgres/… Big Data/Python/Databricks/Data bricks/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Postgres/ more »

Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of data modelling Principles and best more »

Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of data modelling Principles and best more »

robust and scalable web hosting and data platforms. Our platform is a layer on top of core Open Source technologies such as Kubernetes, Istio, Airflow, dbt, running in Public Cloud. It is the glue that allows our teams to deploy into production environments 100s of times per day with more »

how these and other technologies can be applied to business problems to generate value. We currently work in an AWS, Snowflake, Looker, Python and airflow stack; you should be comfortable with these (or similar). The person we’re looking for We are looking for a self-starter who more »

record of taking data science products from conception through to deployment in production. You've had experience deploying data science workflows with tools like Airflow or Databricks. Proven experience of leading a data science team Proven experience of working with customer data You've a strong commitment to accuracy more »

a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of more »

methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills: · Skilled with Python or PySpark · Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) · Experience with Big Data solutions or Relational DB. · Experience in Financial Service Industry is a bonus. more »

data warehousing. Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. Strong problem-solving skills and a meticulous approach to code reviews. Proven leadership qualities with the ability to uphold high standards within more »

warehousing. l Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. l Strong problem-solving skills and a meticulous approach to code reviews. l Proven leadership qualities with the ability to uphold high more »

DevOps automation, idempotent deployment testing, and continuous delivery pipelines Networking and security protocols, load balancers, API Gateways ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte) Data modeling, and strategies for cleaning and validating data at scale Performance tuning on RDBMS or Big Data tools for row- and more »

successful Lead Data Engineer will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/ more »

MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you'll get in return: Salary up to £120,000 dependant on experience Share Program Flexible more »

mandatory, familiarity with the following technologies and tools would be advantageous: Dagster (or similar Orchestration Tools) : Experience with Dagster or other orchestration tools like Airflow for managing complex data workflows and pipelines. Qlik Sense Cloud (or similar Reporting Tools) : Knowledge of Qlik Sense Cloud or similar reporting tools such more »

intelligence, and data warehousing Proficiency in BI tools (e.g., PowerBI, ThoughtSpot) Expert in SQL and Python with knowledge of how to leverage dbt and Airflow Data modelling and governance expertise Knowledge of how to run experimentation platforms and CoE Inspirational leadership styles with the ability to influence senior stakeholders more »

sees challenges as development opportunities not problems Desirable Skills Experience of SAS Viya Experience of SAS Visual Analytics Experience of SQL Server Experience with Apache Airflow Experience using MS Dev Ops for workflow and CI/CD pipelines. Educated to degree standard more »

in Python or PySpark, we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka. Experience with Big Data solutions or Relational DB. Demonstrated knowledge of software applications and technical processes within a cloud more »

proficiency GIT proficiency Linux use and admin Experience deploying cloud services (AWS is a bonus) Experience with Docker and Kubernetes Using frameworks such as AirFlow ML background - PyTorch for computer vision This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days more »

engineers to assist with technical work in agreed territories Key skills/knowledge: Expertise in GCP Experience in Python , SQL Knowledge and expertise in Airflow , Dataform, Git Previous experience working in a team in one of the following functions: data analytics, software or application development, database development Previous experience more »

the above project of redesigning the Creditsafe platform into the cloud space. You will be expected to work with technologies such as Python, Linux, Airflow, AWS DynamoDB, S3, Glue, Athena, Redshift, lambda, API Gateway, Terraform, CI/CD. KEY DUTIES AND RESPONSIBILITIES You will actively contribute to the codebase … and participate in peer reviews. Design and build metadata driven, event based distributed data processing platform using technologies such as Python, Airflow, Redshift, DynamoDB, AWS Glue, S3. As an experienced Engineer, you will play a critical role in the design, development, and deployment of our business-critical system. You more »

Senior Data Engineer Mobysoft is one of the fastest growing SaaS providers in the UK and has been shortlisted in the "Top 50 fastest growing technology companies in the North" for four successive years. Mobysoft provides predictive analytical software that more »

data practices Possess strong knowledge of data tools, data management tools, and various data and information technologies. E.g. DAMA DMBOK, Microsoft SQL Server, Couchbase, Apache Druid, Spark, Kafka, Airflow, etc In-depth understanding of modern data principles, methodologies, and tools Excellent communication and collaboration skills, with the ability … native computing concepts and experience working with hybrid or private cloud platforms is a plus. Demonstrable technical experience working with a Microsoft, Redhat, and Apache data and software engineering environment. A team-oriented individual with a passion for engineered excellence and the ability to lead and motivate a team more »