24 of 24 dbt Jobs in Berkshire

engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology More ❯

and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯

Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why Join? Work with cutting-edge data and AI technology. Collaborate with passionate, high-performing More ❯

e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing More ❯

or Dagster. Solid understanding of data warehousing, data ops, and cloud-based infrastructure. Comfortable owning end-to-end workflows, with strong problem-solving and communication skills. Experience working with dbt as an ELT Why Join? Work in a modern data environment with a high degree of autonomy and ownership. Collaborate with a passionate, fast-moving team tackling complex data challenges. More ❯

and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication skills, with More ❯

this role, you will: Lead, mentor, and inspire analytics and data engineering teams, fostering technical excellence and a culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and More ❯

TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

SKILLS AND EXPERIENCE Proven experience leading data strategy and platform development within a complex, multi-stakeholder environment. Strong technical grounding across: GCP SQL and Python Power BI or Omni DBT and Docker (preferred) Excellent stakeholder management and communication skills. Experience with web and app event tracking, and delivering predictive analytics projects. Leadership background with experience growing and managing data teams. More ❯

technologies. Requirements Extensive experience delivering data platform and strategy projects in financial services, ideally including asset management. Hands-on expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder More ❯

complex and ambiguous problems. Strong communication and collaboration skills, with the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English More ❯

unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics … and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and … Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in data engineering or a related field. Strong hands-on experience with DBT (modular SQL development, testing, documentation). Proficiency in Snowflake (data More ❯

transformation, and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote … cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production More ❯

Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS … Skills & Experience 6 years+ working with Snowflake. Expertise in data modelling, query optimisation and Snowflake-specific features (virtual warehouses, time travel, etc.). Hands-on experience with dbt (Data Build Tool) for data transformations. Proficient in SQL and Python for data manipulation and automation. Knowledge of Azure Data Factory or similar orchestration tools. Exposure to large-scale or regulated environments More ❯

Role: Data Engineer (DBT lean) - Permanent hires consideredSalary: £45,000 - up to £69,000 (dependant on experience) - Consultant or Senior experience considered.**For our Team lead requirements at Principal Consultant please see our job page and apply for the Data Engineering Lead **role: Location: ALL locations considered: We have offices in Liverpool or Newbury office UK for Hybrid working and … on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to More ❯

Role: Principal Data Engineer (DBT lean)Salary: £70,000 - up to £95,000 (dependant on experience)Contracting and Permanent hires considered Location: ALL locations considered: We have offices in Liverpool or Newbury office UK for Hybrid working and Sibenik (Croatia)Let us introduce ourselves We're Intuita, a new kind of data partner. We're a collective of data-driven … developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to More ❯

in product, finance, and technology to translate complex business questions into accessible, trustworthy datasets and visualisations. What You’ll Do Build and optimise robust data models in SQL and dbt Develop automated data pipelines and ensure strong data governance standards Partner with analysts, product managers, and engineers to develop data solutions and dashboards Create impactful reports and visualisations using tools … accuracy and accessibility About You 4+ years’ experience in data or analytics engineering, ideally within fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident More ❯

for senior stakeholders. Work closely with both technical and non-technical teams to gather requirements and translate them into compelling data stories. Cleanse, profile, and model data using SQL, DBT, and Snowflake. Contribute to projects involving cloud data infrastructure (AWS preferred, especially S3; experience with other platforms also valued). Support the evolution of data processes - potential to get involved … in broader SQL, DBT, and AWS financial data projects. What we’re looking for: Proven expertise in Tableau (development and design), with a strong portfolio or Tableau Public profile. Advanced SQL skills; hands-on experience with Snowflake and DBT is a plus. Experience working with large datasets and performing data profiling and cleansing. Familiarity with AWS (especially S3; Lambda less More ❯

big data. Team leadership and technical leadership Proficiency in Python and/or R, SQL, and CI/CD tools. Experience with AWS (preferred) or Azure, and tools like DBT and PowerBI. A problem-solving mindset with a passion for agile, iterative development. Ability to translate business needs into technical solutions and communicate clearly with stakeholders. Our Tech Stack AWS … current environment) Azure (future direction) Redshift, Postgres, DBT, PowerBI This is a high-impact role with visibility across our Operational, Engineering, and Data Science teams. If you're ready to shape the future of data at Kantar, we'd love to hear from you. Apply now and be part of a team that's redefining how data drives decisions. Country More ❯

data platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

analytics, and business domains to design scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge between … with cross-functional teams to deliver insights and recommendations that drive business outcomes. Key Skills: Strong proficiency in SQL for data transformation and analytics. Hands-on experience with Snowflake , dbt , Data Modelling , and Data Vault methodologies. Solid understanding of data warehousing concepts and version control (GitHub) . Experience with cloud platforms (AWS or Azure) and scripting in Python . Familiarity More ❯

shortened version of the Full JD. What youll do Translate business requirements into scalable, well-structured data models and dashboards. Build and maintain Business Layers and data transformations using dbt , SQL , and BigQuery (GCP) . Develop and refine Tableau dashboards with strong UX and storytelling focus. Own data documentation, lineage, and governance using Atlan . Review and mentor on coding … standards, testing, and best practice. Collaborate with Product, BI, and Data Architecture teams in an Agile setup (Jira). Tech environment dbt | SQL | BigQuery (GCP) | Tableau | Atlan | Git | Jira Ideal profile Expert in SQL and dbt with solid data modelling and warehousing experience. Proven experience delivering production-grade dashboards in Tableau. Strong understanding of data governance and data mesh principles. More ❯

growing and leading teams Expertise in Power BI, Looker or similar BI tools Experience leading high-performing data teams Proven stakeholder management and commercial acumen Exposure to CDP's, dbt or Docker beneficial BENEFITS The successful candidate will receive up to £120,000 plus private health, free lunch, and the opportunity to lead data transformation within a world-class environment. … growing and leading teams Expertise in Power BI, Looker or similar BI tools Experience leading high-performing data teams Proven stakeholder management and commercial acumen Exposure to CDP's, dbt or Docker beneficial BENEFITS The successful candidate will receive up to £120,000 plus private health, free lunch, and the opportunity to lead data transformation within a world-class environment. More ❯

API Engineer (Python, FastAPIs) - 2/3 days a week in London numi are proud to be partnered with a technology company on a mission to make supply chains transparent and sustainable. They use earth observation and environmental monitoring to More ❯