1 to 25 of 59 Permanent Fivetran Jobs in the UK

Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran, dbt) and cloud data stacks (AWS/GCP/Azure). A deep understanding of data modelling, access controls, and infrastructure performance tuning. A background More ❯

Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran, dbt) and cloud data stacks (AWS/GCP/Azure). A deep understanding of data modelling, access controls, and infrastructure performance tuning. A background More ❯

Efficiency, and Drive. What will I be doing? Design, build, and maintain scalable and reliable data pipelines. Manage Zeelo's serverless centralized data architecture (Fivetran, BigQuery, dbt, and other tools) that supports analytical functions across the business. Design, build, and maintain ETL, ELT and other data pipelines for purposes to More ❯

data processing, analysis and automation. Proficiency in building and maintaining batch and streaming ETL/ELT pipelines at scale, employing tools such as Airflow, Fivetran, Kafka, Iceberg, Parquet, Spark, Glue for developing end-to-end data orchestration leveraging on AWS services to ingest, transform and process large volumes of structured More ❯

AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Nice to Have Experience Understanding of various data architecture paradigms (e.g., Data Lakehouse, Data Warehouse, Data Mesh More ❯

working knowledge and of 3rd party tools such as Sprinklr, Sprout Social and GWI. As well as experience working with platform scraping tools like Fivetran/Adverity/Apify etc (working knowledge of JSON files and API calls). How You’ll Make An Impact Design and implement high-performance More ❯

to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem, including: Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics More ❯

in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow orchestration platforms (e.g., Airflow, Fivetran, dbt) Proficiency with SQL and solid grounding in data modeling concepts Familiarity with cloud services and architectures (AWS, GCP, or Azure) Proven experience managing or More ❯

in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow orchestration platforms (e.g., Airflow, Fivetran, dbt) Proficiency with SQL and solid grounding in data modeling concepts Familiarity with cloud services and architectures (AWS, GCP, or Azure) Proven experience managing or More ❯

in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow orchestration platforms (e.g., Airflow, Fivetran, dbt) Proficiency with SQL and solid grounding in data modeling concepts Familiarity with cloud services and architectures (AWS, GCP, or Azure) Proven experience managing or More ❯

infrastructure to support the business's strategic goals. This role involves developing and managing data ingestion and transformation pipelines using modern tools such as Fivetran, DBT, and GitLab, while collaborating with business analysts and end-users to ensure systems are continuously enhanced to meet evolving needs. In this role you More ❯

infrastructure to support the business's strategic goals. This role involves developing and managing data ingestion and transformation pipelines using modern tools such as Fivetran, DBT, and GitLab, while collaborating with business analysts and end-users to ensure systems are continuously enhanced to meet evolving needs. In this role you More ❯

infrastructure to support the business's strategic goals. This role involves developing and managing data ingestion and transformation pipelines using modern tools such as Fivetran, DBT, and GitLab, while collaborating with business analysts and end-users to ensure systems are continuously enhanced to meet evolving needs. In this role you More ❯

infrastructure to support the business's strategic goals. This role involves developing and managing data ingestion and transformation pipelines using modern tools such as Fivetran, DBT, and GitLab, while collaborating with business analysts and end-users to ensure systems are continuously enhanced to meet evolving needs. In this role you More ❯

to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in database design More ❯

building ETL/ELT pipelines specifically using DBT for structured and semi-structured datasets Any orchestration toolings such as Airflow, Dagster, Azure Data Factory, Fivetran etc It will be nice to have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used More ❯

building ETL/ELT pipelines specifically using DBT for structured and semi-structured datasets Any orchestration toolings such as Airflow, Dagster, Azure Data Factory, Fivetran etc It will be nice to have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used More ❯

building ETL/ELT pipelines specifically using DBT for structured and semi-structured datasets Any orchestration toolings such as Airflow, Dagster, Azure Data Factory, Fivetran etc It will be nice to have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used More ❯

in writing complex queries to manipulate and extract insights from large datasets. Experience with ETL, rETL, IR tools and frameworks such as Airflow, dbt, FiveTran, Coalesce, HighTouch, Rudderstack, Snowplow, or similar. Strong analytical mindset with a focus on data accuracy, troubleshooting, and resolving complex data issues. Ability to communicate complex More ❯

in writing complex queries to manipulate and extract insights from large datasets. Experience with ETL, rETL, IR tools and frameworks such as Airflow, dbt, FiveTran, Coalesce, HighTouch, Rudderstack, Snowplow, or similar. Strong analytical mindset with a focus on data accuracy, troubleshooting, and resolving complex data issues. Ability to communicate complex More ❯

Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and process datasets Robust understanding of More ❯

at least one BI/visualisation tool (e.g. Looker/Power BI/Tableau etc.) Knowledge of ETL/ELT tools (e.g. dbt/Fivetran etc.) An understanding of Data Governance principles, and the importance of maintaining data quality and providing accurate data and sound insights. An agile mindset - striving More ❯

value above having the 'perfect' solution. Cares deeply about data privacy and security. Here's the Data stack in place today: Extraction/Load: FiveTran, Meltano Storage: AWS S3/AWS RDS/Snowflake Data streaming: Kafka Connect (via Strimzi) Transformation: DBT Product Analytics & event collection: Amplitude & Segment Commercial Tooling More ❯

definitions, and accelerate self-serve reporting. You'll also work with Data Engineers to optimise data ingestion and orchestration pipelines via Azure Data Factory, Fivetran and related tools. This role would be well-suited to a data professional with core competencies in data modelling, and who is excited by the More ❯

in Redshift or equivalent analytical databases. Proficiency in the modern analytics and data engineering stacks for example: DBT, Looker, Python, Git/GitHub, Workato, Fivetran, API integrations, and Airflow. Shape solutions to business problems across the teams to deliver the right data products, analytical frameworks, and drive strategic decisions. Strong More ❯