scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/ More ❯
Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have More ❯
and leverage Agentic development where its needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbtData processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 6 years+ experience as a More ❯
exprience in developing architectural strategies, blueprints for hybrid and cloud-native solutions ELT/ETL Frameworks & Pipelines Essential Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect. Desirable Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/Scala/Python). Disclosure and Barring Service More ❯
scoping projects, disseminating results and instilling confidence in your work with key internal stakeholders of varied backgrounds Experience in using analytical and data BI tooling such as Tableau (Git, dbt - nice to haves) Experience building complex operational & financial models, synthesising recommendations, and presenting to senior executives Strong prioritisation and urgency; understanding that not every task is urgent, but every day More ❯
ability to design and optimise pipelines for large-scale data processing. Hands-on experience with Databricks and Azure. Strong stakeholder communication and problem-solving skills. Tech Stack Required: Databricks DBT Python PySpark SQL Azure Bonus: Experience in eCommerce environments. If you are interested please apply below More ❯
ability to design and optimise pipelines for large-scale data processing. Hands-on experience with Databricks and Azure. Strong stakeholder communication and problem-solving skills. Tech Stack Required: Databricks DBT Python PySpark SQL Azure Bonus: Experience in eCommerce environments. If you are interested please apply below More ❯
agent tooling. Background in agentic systems, reasoning pipelines, or semantic/ontology-based architectures. Familiarity with knowledge graphs, schema reconciliation, or semantic modeling. Experience across modern data infrastructure (e.g., dbt, BigQuery, Airflow) and cloud environments (AWS/GCP). Prior startup or early-stage experience; strong preference for candidates who have built AI or data infrastructure at scale. A builder More ❯
analysts and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics. Design & own core datasets (dbt → BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints. Commercial performance & forecasting. Lead … thrives on turning complex commercial problems into reliable data products. Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. Modern More ❯
High Wycombe, Buckinghamshire, UK Hybrid/Remote Options
9fin
analysts and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics. Design & own core datasets (dbt → BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints. Commercial performance & forecasting. Lead … thrives on turning complex commercial problems into reliable data products. Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. Modern More ❯
analysts and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics. Design & own core datasets (dbt → BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints. Commercial performance & forecasting. Lead … thrives on turning complex commercial problems into reliable data products. Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. Modern More ❯
Milton Keynes, Buckinghamshire, UK Hybrid/Remote Options
9fin
analysts and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics. Design & own core datasets (dbt → BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints. Commercial performance & forecasting. Lead … thrives on turning complex commercial problems into reliable data products. Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. Modern More ❯
London, Oxford Circus, United Kingdom Hybrid/Remote Options
Datatech
Analytics Engineer - DBT & SQL Location: London - Hybrid (3 days/week central London office) Salary: £40,000 depending on experience Ref: J13038 *Please note sponsorship is not available now or in the future. An exciting opportunity has opened up at one of the UK's fastest-growing independent media agencies. An Analytics Engineer is needed to help shape the future … and data scientists to move faster and smarter, all while contributing to a Data for Good ethos that drives meaningful, measurable outcomes. ·Build and maintain robust data models in DBT, transforming raw data into high-quality, trusted sources for analytics and activation. ·Manage onboarding of new data feeds from discovery to documentation, collaborating with both technical and business stakeholders. ·Champion … team collaboration, and making a measurable difference in how data is used across a business. Must-Have Skills: ·SQL - Confident in writing clean, performant queries; understands ANSI SQL principles. ·dbt - Experienced with building, testing, and documenting models in production environments. ·Python - Comfortable using and editing existing scripts; familiar with core concepts. ·Git - Solid understanding of version control and team-based More ❯
to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability. Performance & Cost Optimisation: Configure Snowflake warehouses and implement query optimisation techniques for efficiency. Data Quality & Governance: Apply data quality checks, lineage tracking, and … and best practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding of dataMore ❯
scalability, security, and performance. Data Architecture & Strategy: Define frameworks for ingestion, replication, storage, and transformation across diverse data sources. Pipeline Development: Build efficient ELT pipelines using tools such as DBT and Python, integrating operational, financial, and network data. Performance Optimisation: Configure Snowflake warehouses and partitioning strategies for cost efficiency and speed. Governance & Compliance: Implement data quality, lineage, and access control … experience designing and delivering cloud-based data platforms at scale (Snowflake preferred). Expertise in cloud data architecture, including data lakes, lakehouses, and warehouse design. Advanced proficiency in SQL, DBT, and Python for ELT workflows. Hands-on experience with Snowflake features: schema design, micro-partitioning, warehouses, tasks, streams, and Snowpark. Familiarity with replication and transformation tools (Airbyte, DBT) and cloud More ❯
Fundment is a fast-growing wealth infrastructure company, building on our cutting-edge digital investment system to transform the £3 trillion UK wealth management market. We are passionate about revolutionising the investment experience for financial advisers and their clients by More ❯
stand-ups, sprint ceremonies, and delivery rhythms, ensuring the team stays aligned and works effectively toward all our data initiatives. Build, maintain, and evolve our Datastream + BigQuery + dbtdata platform with high reliability and scalability. Develop clean, well-tested data models that support analytics, experimentation, and operational use cases. Become the subject-matter expert on JustPark's data … Ensure data reliability, governance, cost optimisation, and scalability. Identify opportunities to integrate AI, automation, and modern data tooling. Requirements Advanced ~8-10 years of hands-on data experience with dbt and BigQuery in production environments. Strong SQL and proficiency in Python, or R. Experience building and operating data platforms in e-commerce or fast-growing product companies. Deep data modelling … business value. Ability to move fast while maintaining high data quality and platform stability. Experience with CDC (Change Data Capture) pipelines and tooling. Experience with data orchestration tools i.e. dbt Cloud, Airflow. Knowledge of reverse ETL and event-driven architectures. Exposure to AI, ML led tooling. Benefits Recharge your batteries Generous holiday policy: 25 days + bank holidays + managers More ❯
Lead Data Engineer Position Senior Data Engineer to lead and drive forward complex and high-impact data initiatives. Summary of the Role Howden Group Services is expanding its internal data engineering capability and is looking for a highly experienced Senior More ❯
building scalable data models, streamlining reporting pipelines, and consolidating multiple data sources into a unified operational reporting layer. What You'll Do Own MI Infrastructure Design and maintain robust DBT models and SQL pipelines to transform raw data into accurate, timely, and usable reporting layers. Ensure consistent metric definitions and a single source of truth across all operational reporting. Reporting … 3+ years working in BI/MI or analytics roles, with experience in SQL-heavy, reporting-centric environments. Expert-level SQL and hands-on experience with Python and ideally DBT Experience building and maintaining data models and reporting infrastructure. Strong understanding of data integrity, version control, and metric standardisation. Excellent communication skills for working with both technical and non-technical … data. Familiarity with Superset/Preset or similar modern dashboarding tools. Experience in regulated environments or with regulatory reporting. Interview Process Intro Call (30 mins) Take-home SQL + DBT Task (2 hours) Task Debrief (45 mins-1 hour) Final Chat with COO & CRO (1 hour) Life at Lendable The opportunity to scale up one of the world's most More ❯
