1 to 25 of 29 Permanent Apache Airflow Jobs in the UK excluding London

we will be happy to support you. KEYWORDS: Python/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Insurance/… Asset Management/Reinsurance/Big Data/Python/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Insurance/… Asset Management/Reinsurance/Big Data/Python/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Insurance/ more »

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 »

designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL … . Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. more »

in SQL, NoSQL, Blob,Delta Lake, and other enterprise scale data stores. Data Orchestration - Enterprise scale usage of technology such as Azure Data Factory, Apache Airflow, Logic Apps, DBT, SnapLogic, Spark or similar tools. Software Tooling - GIT/GitHub, CI/CD, deployment tools like Octopus, Terraform infrastructure more »

Maven, Jenkins, GitHub, etc. Experience with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and 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 »

spanning a number of systems At least 10 years of relevant experience Hands-on in-depth experience in the following: Snowflake/DBT/Airflow Background/working experience in the following: Azure Power BI/DAX Traditional SQL (SqlServer, MySql, Postgres) JIRA, Confluence, (Github/BitBucket) Azure Data 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 »

role · Develop robust, scalable data pipelines to serve the easyJet analyst and data science community. · Building orchestration for data pipelines using tools such as Airflow, Jenkins and GitHub actions. · Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala … system. · Significant experience with Python, and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). · Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Arrow, MapR). · Significant experience with SQL – comfortable writing efficient SQL. · Experience using enterprise … scheduling tools (e.g. Apache Airflow, Spring DataFlow, Control-M) · Experience with Linux and containerisation What you’ll get in return ·Competitive base salary ·Up to 20% bonus ·25 days holiday ·BAYE, SAYE & Performance share schemes ·7% pension ·Life Insurance ·Work Away Scheme ·Flexible benefits package ·Excellent staff travel 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 »

OS: Linux (zero Windows deployments) Languages: Python, PHP, Shell Script Managed Kubernetes AWS Lambda, Step Functions, Cognito, Kinesis Databases: Postgres, Redis Open-source apps: Apache Airflow, Key Cloak, CraftCMS Development Frameworks: Django, Tailwind CSS/UI Location: Bristol Please share your latest CV to s.malik@jefersonfrank.com or call more »

OS: Linux (zero Windows deployments) Languages: Python, PHP, Shell Script Managed Kubernetes AWS Lambda, Step Functions, Cognito, Kinesis Databases: Postgres, Redis Open-source apps: Apache Airflow, Key Cloak, CraftCMS Development Frameworks: Django, Tailwind CSS/UI Location: Bristol Please share your latest CV to (url removed) or call more »

ensuring best practises, quality in data transformation and modelling. Essential experience with tech including; GCP, SQL and DBT. Preferably working experience with: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. This position does not offer Visa Sponsorship , please refrain from applying if you require sponsorship at any 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 »

pub/sub, dataflow, dataproc, big query, cloud sql) knowledge in containers and container orchestration CI/CD experience version control (GIT) Orchestration tools ( airflow or cloud composer more »

TMS (Tealium IQ, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pippingand modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development more »

diverse environments, leveraging Azure and other modern technologies. Proven ability to orchestrate complex data workflows and manage Kubernetes clusters on AKS , utilizing tools like Airflow, Kubeflow, Argo, and Dagster. Familiarity with data ingestion tools such as Airbyte and Fivetran, accommodating a wide array of data sources. Mastery of large more »

Langchain, Semantic Kernel, and tools like MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency in pipeline orchestration with tools like Airflow, Kubeflow, and Argo . Exceptional communication skills, with the ability to articulate complex statistical concepts clearly. Personal Competencies: A results-oriented professional with a more »

for advanced content analysis and indexing & developing RAG services . Experience in managing data workflows and Kubernetes clusters on AKS, utilizing tools such as Airflow, Kubeflow, Argo, and Dagster. Familiarity using scripting languages and tools such as Bash, PowerShell, Azure CLI, Terraform, and Helm Charts. Additional Information Location : This more »

on with projects but no requirements, previous experience in this is essential SKILLS AND EXPERIENCE NEEDED: Experience in Redshift database (AWS) Experience with DBT, Airflow and Fivetran Working collaboratively with multiple teams across the business Management/mentoring experience of a team INTERVIEW PROCESS: 1st Stage- Initial Chat 2nd more »

on with projects but no requirements, previous experience in this is essential SKILLS AND EXPERIENCE NEEDED: Experience in Redshift database (AWS) Experience with DBT, Airflow and Fivetran Working collaboratively with multiple teams across the business Management/mentoring experience of a team INTERVIEW PROCESS: 1st Stage- Initial Chat 2nd more »

CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a more »

CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a more »

VERY OCCASIONAL TRAVEL TO CLIENT SITES AND OFFICE. Would you like to the opportunity to expand your skillset across Java, Python, Spark, Hadoop, Trino & Airflow across the Banking & Financial Services industries? How about if you worked with an Innovation Partner of the Year Winner (2023 Oracle EMEA Partner Awards … trends and best practices, and share knowledge with the team. Qualifications You will have expertise within the following: Java, Python, Spark, Hadoop (Essential) Trino, Airflow (Desirable) Architecture and capabilities. Designing and implementing complex solutions with a focus on scalability and security. Excellent communication and collaboration skills. Additional Information Why 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 »