Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Oscar Technology
Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years More ❯
Oxford, Oxfordshire, England, United Kingdom Hybrid / WFH Options
Oscar Technology
Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years More ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
Oscar Technology
Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years More ❯
Milton Keynes, Buckinghamshire, England, United Kingdom Hybrid / WFH Options
Oscar Technology
Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years More ❯
with the ability to engage technical and non-technical stakeholders alike. The Head of Data Engineering & Insight 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 ❯
with the ability to engage technical and non-technical stakeholders alike. The Head of Data Engineering & Insight 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 ❯
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 Business Intelligence - Looker Skills & Attributes We'd Like To See: Extensive experience in data engineering, including designing and maintaining robust data pipelines. More ❯
or Power BI is a plus). • Knowledge of Microsoft Fabric and Microsoft SQL Server is a plus • Experience with a scripting language (Python or R). • Experience with Fivetran or other ETL Tools is a plus • Experience in Advertising Technology is a major plus. • Experience with FreeWheel Data and Products (MRM, Beeswax, Strata) is a plus • Experience with Atlan 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 ❯
Northam, Devon, United Kingdom Hybrid / WFH Options
The Travel Chapter Ltd
Commercial experience of: Data warehousing Snowflake Python, SQL JSON, XML MySQL MSSQL Server AWS Glue Understanding of testing strategies Understanding of Agile methodologies. Desirable Experience of ELT tools like Fivetran/Kleene/DBT Experience using source code management tools (ideally git) PHP Experience with Salesforce Data Models Experience in the travel industry What's in it for you? We More ❯
our legacy data platform. Key Responsibilities: Data warehouse design and implementation working towards the creation of a single source of truth. 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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
product managers, analysts, ML engineers, and more What You'll Bring Extensive experience designing and building modern data platforms Strong skills in Python , SQL , and tools like DBT , Airflow , Fivetran Expertise in cloud services (ideally AWS ) and IaC tools like Terraform Deep understanding of data architecture , ELT pipelines, and governance A background in software engineering principles (CI/CD, version 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 Business Intelligence - Looker Experience and Attributes we'd like to see Platform Engineering Expertise Extensive experience in platform engineering; designing, building, and More ❯
in managing a team of 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 DevOps principles is required Experience More ❯
migration experience - Proven track record migrating large-scale systems (e.g., BigQuery Redshift) Infrastructure as Code - Experience with tools like Terraform Data Engineering: ELT pipeline mastery - Experience with tools like Fivetran, dataform, dbt, and Airflow for building reliable data workflows Custom integrations - Strong Python skills for building data ingestion from third-party APIs, and developing cloud functions Data governance - Experience implementing More ❯
and much more. We are technology agnostic (but opinionated!) and work across all major cloud providers. Depending on client choice we may either leverage third party tools such as Fivetran, Airbyte, Stitch or build custom pipelines. We use the main data warehouses for dbt modelling and have extensive experience with Redshift, BigQuery and Snowflake. Recently we've been rolling out More ❯
experience as a Data Engineer (or similar), building cloud data platforms. • Strong SQL and Python skills for data transformation and automation. • Hands-on with modern ELT frameworks (e.g., dbt, Fivetran, ADF, Synapse Pipelines). • Experience with version control (Git) and CI/CD for data. • Knowledge of data modelling techniques and performance optimisation. • Familiarity with data governance, security, and privacy More ❯
verbal communication skills for technical and executive audiences. Preferred Qualifications Bachelor's or advanced degree in Business, Computer Science, or related field. Experience with modern data stacks (e.g., dbt, Fivetran, Looker, Power BI). Knowledge of data governance, quality frameworks, and compliance requirements. Familiarity with data mesh, domain-driven design, or federated data product models. Exposure to AI/ML More ❯
petabyte scale data sets and developing integration layer solutions in Databricks, Snowflake or similar large platforms. Experience with cloud-based data warehousing, transformation tools like Delta Lake Tables, DBT, Fivetran or Snowflake. Proficiency in machine learning and familiarity with open-source machine learning ecosystems. Proven experience as an Integration Engineer or similar role, with a strong understanding of integration patterns More ❯
etc.) Excellent communication skills - able to simplify technical concepts for non-technical stakeholders Nice-to-Have: Experience working in client-facing consultancy projects Knowledge of modern data stack tools (Fivetran, Airbyte, Stitch) Python for data transformation or automation Familiarity with Git and version control best practices If you would like to be considered for the Analytics Consultant role and feel More ❯
share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands-on experience with SAP Analytics Cloud Functional understanding of core More ❯
Strong skills in Python and SQL Demonstrable hands-on experience in AWS cloud Data ingestions both batch and streaming data and data transformations (Airflow, Glue, Lambda, Snowflake Data Loader, FiveTran, Spark, Hive etc.). Apply agile thinking to your work. Delivering in iterations that incrementally build on what went before. Excellent problem-solving and analytical skills. Good written and verbal More ❯
AWS, including tools like AWS Lambda, AWS Glue, AWS SageMaker, and AWS Redshift. Experience with cloud-based data warehousing and transformation tools such as Delta Lake Tables, DBT, and Fivetran Familiarity with machine learning and open-source machine learning ecosystems. Hands-on experience with integration tools and frameworks such as Apache Camel and MuleSoft. Solid understanding of API design principles More ❯
the business What You Bring 3+ years in analytics engineering, data engineering, or BI roles Deep experience with SQL (Python a bonus) Familiarity with modern data stacks: Fabric, BigQuery, Fivetran/Stitch, dbt, Looker/Hex/Metabase etc. Strong understanding of data modelling principles (dimensional models, slowly changing dimensions etc.) Track record of collaborating across functions and delivering impact More ❯
Identify opportunities to improve conversion, optimise spend, and enhance product and channel performance. We'd love to meet someone with: Strong experience with data integration tools such as Weld.app, Fivetran, Stitch, or Airbyte. Proficiency in SQL, data modelling, and data pipeline best practices. Demonstrated experience building dashboards and reports in Looker Studio, Power BI, Tableau, or equivalent. Strong understanding of More ❯