376 to 400 of 825 dbt Jobs in the UK

streaming processes with Spark. The ideal candidate has over 5 years of experience in data engineering with Python, and hands-on experience with DBT and Airflow. The position offers a flexible remote work arrangement within the UK or EU time zones, along with a learning budget and conference allowance. #J ...

scheduling and tracking. Circle CI for continuous deployment. Parquet and Delta file formats on S3 for data lake storage. Spark for data processing. DBT for data modelling. SparkSQL for analytics. Why else you'll love it here Wondering what the salary for this role is? Just ...

analytics/data science experience in a multi-site environment - hospitality, retail, leisure or QSR preferred Advanced SQL and data warehouse experience - Snowflake/dbt advantageous Strong Excel financial modelling and understanding of P&L/labour costs Strong BI development - Power BI, Tableau, Looker or Omni Experience with rota ...

analytics. Strong BI expertise, ideally using Looker, Omni, or similar modern BI platforms. Experience supporting experimentation and A/B testing initiatives. Exposure to dbt or analytics engineering methodologies. Ability to work closely with technical and non-technical stakeholders. Strong communication skills with the ability to influence decision-making through ...

platform reliability. Required Skills & Qualifications: Extensive hands-on experience with Google Cloud Platform , including BigQuery , GCS , IAM , and Kubernetes . Proficiency in Python, Airflow, dbt, and familiarity with Terraform and CI/CD pipelines. Experience with data governance tools like Alation , Fivetran , and Tableau . Strong understanding of RBAC ...

Have Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions Experience shipping ...

monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack — Vertex AI, BigQuery, dbt, Airflow, and Terraform — on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. ...

work. Experience with MLOps or model lifecycle tooling such as MLflow, model registries, or feature stores. Experience with workflow orchestration tools such as Airflow, dbt, or Databricks Workflows. Experience with data product or data mesh operating models. Knowledge of European banking or EU regulatory frameworks. Experience with Teradata and/ ...

with enterprise systems. Data Engineering & Platforms Ability to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents. Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals. Strong debugging instincts with imperfect, real ...

integration with enterprise systems.Data Engineering & PlatformsAbility to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents.Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals.Strong debugging instincts with imperfect, real-world data ...

Ability to engage with business stakeholders and translate requirements into data solutions. Desirable Experience with Looker, LookML or similar semantic modelling tools. Experience with dbt and modern data stack technologies. Background within customer, consumer, commercial or telecoms analytics environments. Python scripting and automation experience. If the role aligns with your ...

Ability to engage with business stakeholders and translate requirements into data solutions. Desirable Experience with Looker, LookML or similar semantic modelling tools. Experience with dbt and modern data stack technologies. Background within customer, consumer, commercial or telecoms analytics environments. Python scripting and automation experience. If the role aligns with your ...

Internships or placements in pre-sales, technical consulting, or data engineering within technology companies Familiarity with data tools commonly used in FSI environments (dbt, Kafka, Spark, or equivalent) Coursework or foundational knowledge of financial services concepts such as risk management, regulatory reporting, or fraud analytics Exposure to customer-facing presentations ...

Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus TPBN1_UKTJ ...

Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus ...

code, and comfort articulating and discussing technical requests to engineers Familiarity working with or around "big data", using tools like AWS Athena, SQL/dbt Experience working in the financial sector or another regulated industry We’re building a place where everyone truly feels they belong. Even if your past ...

Demonstration of impact/going above and beyond basic role requirements Ability to self organise and manage stakeholders Nice to have but not essential DBT experience Experience working in a Pricing function Additional Information Some of our benefits: Base salary of £105,000 - £150,000 RSU's in a growing ...

what happens next. Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve ...

influence what happens next.Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve ...

what happens next. Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve ...

Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus Additional Information Your benefits We're a community here that cares as much about your life outside ...

used across the organisation, including taking ownership of our data transformation and orchestration tooling; batch and streaming infrastructure and exploration tools (Databricks, Airflow, dbt) and look after our Datalake (ingestion, storage, governance, privacy). You’ll work with a modern, cutting‐edge data stack and play a key role … engineers and have a strong grasp of their needs and how they operate Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub) Cloud Platform proficiency: familiarity with AWS, GCP, or Microsoft Azure, with hands ...

semantic data models and good analytics engineering practices Basic statistics, experimentation and causal measurement knowledge Understanding of Data Science, automation and LLM principles dbt experience is helpful but not essential 2. Leadership and stakeholder skills Strong commercial and operational judgement, Able to translate complex analysis into simple business decisions Excellent ...

semantic data models and good analytics engineering practices Basic statistics, experimentation and causal measurement knowledge Understanding of Data Science, automation and LLM principles dbt experience is helpful but not essential LEADERSHIP AND STAKEHOLDER SKILLS Strong commercial and operational judgement High emotional intelligence and stakeholder management skills Comfortable influencing and constructively ...

paid for the flex they deliver. A note on the job title: Analytics engineering is often closely associated with dbt. We don't use dbt at Axle because our data set up doesn't require a full ETL framework. Instead, this role is centred on the core analytics engineering skill ...