251 to 275 of 531 dbt Jobs in England

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 ...

strong knowledge of modern analytics tools and platforms. * Experience developing semantic layers, metric frameworks, and self-service reporting capabilities. * Knowledge of tools such as dbt, MetricFlow, LookML, or equivalent technologies. * Strong understanding of analytics architecture, data governance, and modern BI principles. * Proven ability to influence senior stakeholders and drive change ...

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 ...

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/ ...

loans, credit cards, and car finance, using data, machine learning, and AI to improve financial services. Задачи Transform and model data using SQL and dbt Build data workflows with Python Automate processes and develop tools to optimise day-to-day work Build high-quality data products Work collaboratively across technical ...

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 ...

expertise in data architecture, including MDM strategy, solution selection, integration and implementation. Strong understanding of GCP or comparable cloud data platforms. Practical familiarity with dbt, Python and SQL-based data engineering (architecture-level, not necessarily daily hands-on coding). Track record operating in large, regulated enterprise environments (financial services ...

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 ...

price Bring recommendations rather than options. Lead with your view and what you need to execute it Build the tooling, using our Claude, dbt, BigQuery and Lightdash stack, so pricing decisions get faster over time rather than more manual Collaborate closely with the Senior Leadership Team and co-founders ...

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 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 ...

Apollo Client Python services running Flask and FastAPI Kubernetes based microservice architecture running on Google Cloud Platform Cloud Postgres and Google BigQuery datastores with DBT data transformations Google PubSub and MQTT messaging Terraform infrastructure orchestration CI/CD via CircleCI and Helmfile (server) and Bitrise (mobile) Error reporting using DataDog ...

analytics architecture Experience working with semantic layers, metric governance, and self-service analytics environments Knowledge of modern data stack technologies, with exposure to dbt considered highly advantageous Demonstrated ability to influence stakeholders and lead change across complex organisations Strong interest in AI and emerging technologies, with an understanding of their ...

data community What you’ll have: Essential experience: Strong background in analytics engineering, with experience delivering complex transformations using SQL-first approaches, ideally with dbt Delivery-focused analytics engineering leader who combines technical depth, attention to detail, and people leadership. Proven experience understanding, reviewing, and guiding implementation of complex data … driven data sources Familiarity with orchestration tools such as Airflow and modern ELT architectures Experience governing or implementing data CI/CD pipelines (e.g. dbt tests, deployment pipelines, automated checks). We currently use Azure DevOps Working knowledge of Python for analytics engineering or enablement purposes A strong interest ...

Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Newcastle ...

product, AI, and reporting systems, ensuring data is accurate, timely and trusted. You’ll own data models, contracts and quality checks, work with Kafka, dbt and Airflow, and partner with engineers, product and compliance to scale a regulated data platform. #J-18808-Ljbffr ...

complex queries, execution plans, indexes and overall database performance Diagnosing production database issues and conducting root‐cause analysis Developing and maintaining data pipelines using dbt Supporting existing SSIS/SSRS solutions Managing database releases, including schema migrations, deployment scripts, versioning and rollback strategies Applying data warehousing principles across operational … Redgate SQL Monitor, SQL Sentry or equivalent Strong understanding of database release and deployment processes Experience with SQL Server Data Tools (SSDT) Hands‐on dbt experience Experience with Power BI , including operational/paginated reporting Strong knowledge of data warehousing methodologies, including Kimball and Inmon Experience with Git, Jira ...

design (Raw/Conformed/Consumption layers), virtual warehouse sizing, and cost governance Define standards for data loading (Snowpipe, Streams & Tasks, external stages), transformation (dbt patterns), and data sharing across business units Establish Snowflake data access controls, row‐level security, dynamic data masking, and PII governance in line with regulatory … data architecture working groups with platform, BI, and enterprise architecture teams to align on shared standards Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance ...

anomaly detection, and monitoring across data pipelines, and own production scraping infrastructure with Playwright and anti-bot tooling. You will work with Python, SQL, dbt, and BigQuery to diagnose root causes and raise the data quality bar. This hybrid role is based in London with flexible working arrangements ...

will harden validation and anomaly detection, keep scrapers healthy, and ship practical tooling to improve team efficiency. Applicants should excel in Python/SQL, dbt, and BigQuery, with experience in Playwright-based scraping, data orchestration (Dagster), and AI-assisted coding. Hybrid work model with 1–2 days in the London ...

business Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT #J-18808-Ljbffr ...

Financial Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before … with structured financial data, treating them as first-class stakeholders alongside finance teams. More specifically, you will: Design and build the Snowflake schema and dbt model architecture for the topline data chain: Billing, Annual Recurring Revenue (ARR), Deferred Revenue, Revenue Recognition (Rev Rec), and Close Pack Deliver ingestion and transformation ...