12 of 12 Remote dbt Jobs in Slough

CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka). Knowledge of security best practices and data governance. Benefits: Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access Employee Assistance Program Enhanced parental More ❯

/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and grow. Nice to Have: Exposure to data pipeline tools (e.g. Apache Airflow, dbt). Experience with containerisation tools like Docker. Familiarity with version control and CI/CD practices. Knowledge of BI tools (Looker, Tableau, or similar). If you’re excited to More ❯

a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional 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 ❯

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 ❯

systems. Strong communication skills — able to translate data findings into actionable insights for technical and non-technical stakeholders. Desirable Skills: Experience working with ETL tools or scripting languages (Python, dbt, Alteryx, SSIS, etc.). Familiarity with cloud data environments (AWS, Azure, GCP). Knowledge of data governance, privacy (GDPR), and regulatory requirements in insurance. Exposure to API-based data integrations 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 ❯

technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn … analytics engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation, collaboration, and data-driven transformation. Meet eligibility requirements 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 ❯

SQL (there will be a short SQL test as part of the interview process) BI/Analytical skills gained through projects, research or early career experience Data Build Tool (DBT) - is a plus Exposure to Python, R or other relevant tools/languages - is a plus About you: Growth mindset A confident and able communicator Intellectual curiosity and proactivity in More ❯