1 to 25 of 95 Apache Airflow Jobs in the UK excluding London

Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience More ❯

and other DevOps practices such as IaC Testing Nice to have - Additional experience with the following would be beneficial but not essential: Data modelling approaches (Kimball, Imnon) Orchestration tools - Apache Airflow, Prefect or cloud-native tools Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.) MLFlow and other MLOps/Machine Learning Engineering processes to support advanced More ❯

Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data … platform integrates Python and Snowflake and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have experience with streaming platforms like Apache Kafka and be able to develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice. You will understanding Apache Kafka to … a high standard and have solid knowledge of Apache Airflow - from a Cloud perspective, you will be an AWS enthuiast! Naturally you will have good understanding on AWS. I'd love you to be an advocate of Agile too - these guys are massive on Agile Delivery and Scrum - so it's importantly you share a similar mind-set More ❯

Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DevOps experience building and deploying using Terraform Nice to Have: DBT Data Modelling Data Vault Apache Airflow Benefits: Up to 10% Bonus Up to 14% Pensions Contribution 29 Days Annual Leave + Bank Holidays Free Company Shares Interviews ongoing don't miss your chance More ❯

Deep understanding in software architecture, object-oriented design principles, and data structures Extensive experience in developing microservices using Java, Python Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark. Good experience in Test driven development and automating test cases using Java/Python Experience in SQL/NoSQL (Oracle, Cassandra) database design Demonstrated ability to be proactive … HR related applications Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda Working experience with Terraform Experience in creating workflows for Apache Airflow About Roku Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and More ❯

or MS degree in Computer Science or equivalent Experience in developing Finance or HR related applications Working experience with Tableau Working experience with Terraform Experience in creating workflows for Apache Airflow and Jenkins Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our More ❯

with multiple languages • Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) • Experience in working with process scheduling platforms like Apache Airflow. • Should be ready to work in GS proprietary technology like Slang/SECDB • An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory More ❯

experience in data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least More ❯

in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

in data engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at More ❯

Maintain and develop data warehouses Provide guidance and mentorship to junior team members To be successful in this role you will have. Extensive experience with Snowflake Experience with DBT, Airflow or Python Cloud Data Engineering experience with AWS/Azure/GCP This is a hybrid role based from the companies London office with some of the benefits including More ❯

in data engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark, dbt, Airflow OR Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling, distributed systems, streaming architectures, and ETL/ELT pipelines. Proficiency in SQL More ❯

patterns in pipeline architecture and design. Confident using Git-based version control systems, including Azure DevOps or similar. Skilled in managing and scheduling data workflows using orchestration platforms like Apache AirFlow. Involved in building and optimizing data warehouses on modern analytics platforms like Snowflake, Redshift, or Databricks. Familiar with visual or low-code data integrations tools, including platforms such More ❯

to talk to you if: You've led technical delivery of data engineering projects in a consultancy or client-facing environment You're experienced with Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know More ❯

architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to More ❯

Job Description Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. We have an opportunity to impact your career and provide an adventure where you can push the limits of More ❯

warehousing. Proficiency in Python or another programming language used for data engineering. Experience with cloud platforms (e.g., Azure, AWS, or GCP) is highly desirable. Familiarity with tools such as Apache Airflow, Spark, or similar is a plus. What’s On Offer: Competitive salary between £45,000 – £55,000 , depending on experience. Flexible hybrid working – 3 days on-site More ❯

products or platforms Strong knowledge of SQL and experience with large-scale relational and/or NoSQL databases Experience testing data pipelines (ETL/ELT), preferably with tools like Apache Airflow, dbt, Spark, or similar Proficiency in Python or similar scripting language for test automation Experience with cloud platforms (AWS, GCP, or Azure), especially in data-related services More ❯

in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit … learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

SQL, craft new features. Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches. Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or … similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML. Hands-on cloud ML experience (AWS or Azure). Proven track More ❯

and Gemini into developer workflows. Help curate high-quality datasets, managing structured and unstructured inputs across domains and jurisdictions. Contribute to metadata enrichment, lineage tracking, and discoverability using DBT, Airflow, and internal tools. What You Bring Proven experience in data engineering or analytics engineering roles. Proficiency in Python and SQL, with strong debugging and performance tuning skills. Experience building … cloud-native pipelines using AWS tools (Glue, S3, Athena, Redshift, Lambda). Familiarity with orchestration tools (Airflow, Step Functions) and DevOps practices (CI/CD, IaC). A genuine interest in Generative AI and a desire to grow your skills in areas like prompt engineering, LLM integration, and AI-augmented workflows. (We’ll support your learning through mentoring, internal More ❯

tools (e.g., Cursor, Gemini, Claude) into development workflows. Curate and manage datasets across structured and unstructured formats and diverse domains. Contribute to metadata enrichment, lineage, and discoverability using DBT, Airflow, and internal tooling. Skills & Experience We value both traditional and non-traditional career paths. You'll ideally bring: Technical Skills 3-5 years of experience in data or analytics … Python and SQL, with strong debugging and performance tuning skills. Experience building pipelines with AWS services such as Glue, S3, Athena, Redshift, and Lambda. Familiarity with orchestration tools (e.g., Airflow, Step Functions) and DevOps practices (e.g., CI/CD, Infrastructure as Code). Interest in Generative AI and a willingness to grow your skills in LLM integration and prompt More ❯

analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯