1 to 25 of 109 Fivetran Jobs in England

dbt (incl. query efficiency and optimization) Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) Qualification preferred, not mandatory Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar) Significant experience with IoC tools (Terraform, Docker, Kubernetes or similar) Significant experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI or similar) Preferred Experience: Experience More ❯

dbt (incl. query efficiency and optimization) Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) Qualification preferred, not mandatory Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar) Significant experience with IoC tools (Terraform, Docker, Kubernetes or similar) Significant experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI or similar) Preferred Experience: Experience More ❯

advantageous. Knowledge of advanced machine learning algorithms and statistics. Experience in Natural Language Processing. CI/CD knowledge. Experience with JIRA/Asana for project management. Familiarity with Airflow, Fivetran, Matillion, or other ETL/ELT tools. Agile working methodology. Why Choose BI:PROCSI? BI:PROCSI offers a unique work environment focused on innovation and personal growth. As a rapidly More ❯

Stack Cloud Data Warehouse - Snowflake 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) and their applicability to different More ❯

BI and Data Architecture. Expertise in modern BI and Data platforms like Snowflake, BigQuery, Redshift, Power BI. Background in ETL/ELT tools and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud solutions (Azure, AWS, Google). #J-18808-Ljbffr More ❯

or Looker. Ability to translate complex data into clear insights for non-technical stakeholders. What Will Make You Stand Out: Experience with modern data stack tools such as dbt, Fivetran, and Snowflake. Familiarity with Azure cloud services and automation frameworks. Understanding of data challenges in large-scale retail environments. Clear, confident communicator who can simplify technical findings for business users. More ❯

US) Our values are Trust, 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 support analytics use cases. Identify More ❯

scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift … Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth More ❯

scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift … Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth More ❯

across data ingestion and transformation pipelines (ETL/ELT) Validate analytical data models to ensure accuracy and reliability. Utilize cloud platforms (AWS, GCP) and tools such as Snowflake, dBt, Fivetran, and Tableau for testing purposes. Thought Leadership and Collaboration: Act as a thought leader for testing within the data analytics space advocating for modern testing methodologies and technologies like Test … analytics or related function. Proficiency in testing data ingestion and transformation pipelines (ETL/ELT) Hands-on experience with cloud platforms (AWS, GCP) and tools such as Snowflake, dBt, Fivetran, and Tableau (or similar) Strong knowledge of SQL and experience in testing databases and data warehouses with dBt (e.g., Snowflake - Preferred, Redshift, BigQuery) Strong Knowledge of workload automation platforms like More ❯

scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools … e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth environments This is a fantastic opportunity More ❯

s long-term CX strategy. Key Responsibilities CX Data Infrastructure & ETL Optimization Design, implement, and optimize CX data pipelines and databases for scalable, real-time analytics. Maintain ETL workflows (Fivetran, dbt, Airflow, Azure Data Factory) to automate data ingestion from Zendesk, NPS, e-commerce reviews, app reviews, and cancellation data. Write stored procedures and ETL packages to support CX-related … CX leadership to identify scalable applications. Required Skills & Qualifications 5+ years in data engineering, analytics, or CX data management Strong experience with SQL development, stored procedures, and ETL automation (Fivetran, dbt, Airflow, Azure Data Factory, etc.) Experience with Azure cloud environments, including Azure SQL and Cosmos DB Proficiency in real-time customer behavior tracking and analytics Strong knowledge of CX More ❯

Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

Architecture. Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc. Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud-based solutions (Azure, AWS, or Google). #J-18808-Ljbffr More ❯

Strong background in building and optimising data warehouses and ELT pipelines Solid experience across cloud platforms – ideally AWS, Snowflake, or Databricks Comfortable working with automation/integration tools (Airflow, Fivetran, Astronomer) Hands-on with Terraform, Docker, Kubernetes and modern CI/CD tools (GitHub Actions, Jenkins, CircleCI, etc.) Experience with real-time pipelines (Kafka, Spark, AWS Kinesis) Familiarity with observability More ❯

a single source of truth. Contributing to the architectural design of the new Enterprise Data Platform. Contributing to development best practices. Development of data ingestion/transformation pipelines using Fivetran, DBT and Gitlab. Creation of management information dashboards. Work with business analysts and end-users to plan and implement feature enhancements and changes to existing systems, processes and data warehouses. More ❯

in Python and SQL for 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 and unstructured data from diverse More ❯

management skills, with the ability 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 & Reporting: Power BI, Excel, Snowflake More ❯

management skills, with the ability 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 & Reporting: Power BI, Excel, Snowflake More ❯

management skills, with the ability 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 & Reporting: Power BI, Excel, Snowflake More ❯

and maintaining scalable data models and pipelines to ensure clean, well-structured data for analytics and reporting Implementing and maintaining ELT/ETL processes using tools like DBT and Fivetran Owning and optimising data warehousing ( Snowflake ) and ensuring efficient data management Collaborating with software engineers, product managers and business stakeholders to understand data needs and deliver high-quality, accessible datasets … At least intermediate proficiency in Python and Git Experience designing, building and maintaining data pipelines Familiarity with data warehousing architecture and implementation Visualisation experience, ideally with Tableau Experience with Fivetran and Snowflake Familiarity with cloud infrastructure (ideally AWS) Experience with Terraform and Docker Please note: unfortunately, this role does not offer VISA sponsorship. Seniority level Mid-Senior level Employment type More ❯

Brandwatch/Talkwater/etc, 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, reusable, and scalable data models More ❯

data processing and transformation tasks Utilise dbt to orchestrate data transformations and manage data models Optimise and manage ETL processes, including building bespoke solutions to replace or augment existing Fivetran implementations Build and maintain dashboards and reports using Omni (Looker equivalent), providing actionable insights to the business Collaborate with cross-functional teams to understand data requirements and translate them into … with data processing libraries such as Pandas Have strong SQL skills and experience working with data warehouses like Snowflake and databases like PostgreSQL Are familiar with ETL tools like Fivetran and have experience building custom ETL solutions Have experience with data orchestration tools like dbt Have worked with BI tools like Omni or Looker and have a strong understanding of More ❯

as the lead in a small team. Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube. You’ll already have the Google Cloud Data Engineer certification and the Looker developer certification or be committed to obtaining that certification within your first three months … analytics and data engineering with business goals. What We're Looking For Must Haves Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud More ❯

set up monitoring/logging, and support architecture decisions What You Bring Strong SQL & Python (PySpark); hands-on with GCP or AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI/CD exposure Background in a quantitative field; AI/ML interest a plus Bonus: Experience in manufacturing/logistics More ❯