18 of 18 Permanent dbt Jobs in Slough

and data quality across the business Requirements: Strong experience in SQL, Python, Spark, and cloud infrastructure (AWS, Databricks preferred) Hands-on experience building production data pipelines, coding transformations (e.g., dbt), and implementing data quality controls Familiarity with version control (Git), CI/CD concepts, and BI tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to More ❯

of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project delivery for More ❯

of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project delivery for More ❯

step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be relevant). Experience in the More ❯

experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

enterprise b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

to help shape how we use data across the business Bonus: you’ve worked with Looker or helped build a BI setup before Bonus: you’ve touched tools like dbt, BigQuery or Git—or you’re keen to learn them here Staff Benefits: Private Medical Insurance 25 days Holiday + Public Salary Sacrifice Pension Bonus (paid out twice a year More ❯

the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What More ❯

Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation, and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and … Git. Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness. Qualifications: Strong proficiency in SQL, particularly with Snowflake's features and functionalities. Extensive experience with dbt for data modeling, transformations, testing, and documentation. Solid experience with Apache Airflow for workflow orchestration and scheduling. Proficiency in Python for data manipulation, scripting, and automation. Experience with cloud platforms More ❯

will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of scalable, secure, and high-performance data … related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance, security More ❯

Define and uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics … similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset & Growth A proactive self-starter who thrives More ❯

Senior Analytics Data Engineer - Snowflake & DBT (Contract) Location: London/Hybrid (2 days a week in the office) Contract Length: 6 Months (with possible extension) Rate: Negotiable Ref: J12991 Are you a seasoned Data Engineer with a passion for designing scalable solutions and transforming how businesses harness the power of data? This is an exciting opportunity to play a pivotal … trusted technical advisor, collaborating across business and technology teams to ensure data solutions are aligned with strategic goals. Responsibilities: Design and develop scalable, high-performance data pipelines using Snowflake, DBT, and Azure DevOps Implement data transformations and support data curation and modelling best practices Champion clean, efficient code and peer review contributions from junior engineers Collaborate with stakeholders across geographies … throughout the lifecycle Identify system inefficiencies and lead enhancements using innovative solutions Skills & Experience: Proven experience in senior data engineering roles, preferably within regulated industries Expertise in SQL, Snowflake, DBT Cloud, and CI/CD pipelines (Azure DevOps) Hands-on with ETL tools (e.g. Matillion, SNP Glue, or similar) Experience with AWS and/or Azure platforms Solid understanding of More ❯

UK) • Structured onboarding and support, not a “sink-or-swim” mentality 🧩 What You’ll Be Doing • Design and own robust, high-performance ETL pipelines using SQL, Python, Databricks, and DBT • Ingest complex data sets from Europe’s specialty and warranty businesses • Integrate Snowflake warehouse and automate financial/operational reports • Support data product strategies and improve overall data quality and … Must-Haves: • 6+ years in data engineering • Strong skills in Python, Databricks, and SQL • Solid understanding of data transformation best practices (ETL/ELT) Nice-to-Haves: • Experience with DBT • Background in insurance, financial services, or reporting-heavy environments Location: Central London- Full time onsite 💰 Compensation & Benefits • Base Salary: Approximately £100,000 depending on experience • Bonus: 5–10% (based on More ❯

Shape and refine our data propositions, offerings, and go-to-market materials. Design and implement modern data platform architectures leveraging cloud and modern data stack technologies (e.g., Snowflake, Databricks, dbt, etc.). Advise clients on data strategies, operating models, governance, and AI adoption pathways. Build and lead multi-disciplinary teams, providing thought leadership, mentorship, and quality assurance across projects. Collaborate … experience delivering data platform, engineering, and strategy projects in financial services; strong preference for asset management expertise. Proven track record in implementing modern data stack solutions (e.g., Snowflake, Databricks, dbt, Airflow, cloud-native tooling). Solid understanding of data governance, quality, lineage, and security within regulated environments. Working knowledge of AI/machine learning technologies and their practical applications in More ❯

join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business performance. … coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

in their data function. The Role Sitting within a newly-formed Analytics Engineering function, this role is ideal for someone who enjoys end-to-end ownership, from designing clean dbt models to working closely with business stakeholders. You'll help shape the way data is modelled, documented, and served across the business, working with a modern stack and high-impact … teams. Key responsibilities in the role Build and maintain robust dbt models within the Snowflake data warehouse Design scalable solutions that translate business questions into reliable datasets Collaborate with teams across product, ops, marketing, and finance Improve data quality, documentation, and platform reliability Integrate data from key third-party sources Support self-serve analytics through Looker What They’re Looking … For Previous experience in an analytics engineering role (or similar) Strong experience with SQL, dbt, and Snowflake Someone just as confident building models as they are shaping best practices Comfortable in ambiguity and proactive about making things better Bonus if you’ve worked in insurance or fintech, but not essential Why Apply This is a high-impact role where you More ❯

immediate and long-term effects on customer spend and retention. SQL Data Extraction & Manipulation – Pull, join, and transform data from Snowflake and other sources, working with data marts and dbt models. Data Visualisation – Create clear, compelling Tableau dashboards and reports for stakeholders at all levels. Marketing KPI Tracking – Support the marketing team in measuring key performance metrics (e.g., acquisition cost … interpreting data. Skills and Experience Experience in data analytics roles, ideally in marketing, growth, or e-commerce environments. Advanced SQL skills for data extraction and manipulation. Experience with Snowflake, dbt, and Tableau (or similar visualisation tools). A strong statistical foundation and ability to apply the right analytical methods. Understanding of marketing metrics such as CAC, LTV, retention, and channel More ❯

ups in the UK. ROLE AND RESPONSIBILITIES Build and maintain dashboards in Looker Add new fields and make updates within these Looker models Assist with basic data modelling using DBT Conduct ad-hoc and regular analysis to support the product and tech teams Support more senior analysts on larger BI projects Contribute to documentation of models, dashboards, and data sources … respond to data requests as needed SKILLS AND EXPERIENCE Required: 2 years of experience in a BI, analytics, or data role (flexible) Proficient with Looker and SQL Exposure to DBT is a strong plus Familiarity with Excel, Power BI Good communication skills and some experience working with stakeholders Interview Process: Intro call and CV run-through Take-home task, followed More ❯