101 to 125 of 199 dbt Jobs

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

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Capgemini At Capgemini we don ...

stakeholders and reporting\n Your skillset: \n \n Expert capabilities across analyst tooling - incl. SQL and experience with analytical engineering tools such as dbt \n Experience using a visualisation tool such as Tableau or Looker Experience leveraging AI tooling for delivery, with enthusiasm for transforming how we build and interact ...

complex systems to ingest and process large volumes of data. The main tools you will be using day to day are: ** Snowflake ** Python ** SQL ** DBT ** AWS You: Our customer is looking for someone well-versed in the above tools/technologies. They also need someone who understands the principles ...

marketing data and performance insights What We're Looking For Strong background in data analytics Advanced SQL skills and experience building data pipelines (e.g. DBT, Airflow) Experience with marketing analytics tools (e.g. Google Analytics, GTM, Braze, Appsflyer, Firebase) Proven experience running A/B tests and defining KPIs and attribution ...

leverage visualisation tools to surface insights. NICE TO HAVE BUT NOT ESSENTIAL Experience of working in regulated environments, Fintech or Financial Services. Experience using dbt, Superset, or Looker. Knowledge of advanced analytics techniques, including the use of Python and visualisation techniques. Additional Information Some of our benefits: 💰Base salary ...

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 Werea community here that cares as much about your life outside work ...

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 Werea community here that cares as much about your life outside work ...

most impactful opportunities NICE TO HAVE BUT NOT ESSENTIAL Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker. Practically used + applied AI/machine learning techniques and built predictive models to get deeper insights Knowledge of the FinTech ecosystem Additional Information What ...

Query Power Pivot Complex formulas and modelling techniques Preferred Skills: Experience working with Databricks in a modern data platform environment. Knowledge of dbt (Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft Azure. Experience working with data engineering or ETL pipelines. Exposure ...

stakeholders and reporting.\n Your skillset: \n \n Expert capabilities across analyst tooling - incl. SQL and experience with analytical engineering tools such as dbt \n Experience using a visualisation tool such as Tableau or Looker Experience leveraging AI tooling for delivery, with enthusiasm for transforming how we build and interact ...

Delivery: Own the lifecycle of data science projects from discovery to deployment. Work as part of a cross functional team leveraging Python, dbt, and GCP (Vertex AI, BigQuery) to build robust pipelines. \n · Stakeholder Collaboration: Partner closely with Network stakeholder to translate complex commercial constraints into data science problems ...

Experience Strong commercial experience in analytics within a marketing or digital environment Advanced SQL skills and experience building data pipelines with tools such as DBT or Airflow Experience with marketing analytics platforms such as Google Analytics, GTM, Braze, Appsflyer, or Firebase Strong understanding of experimentation, A B testing, and attribution ...

time-sensitive, critical initiatives. Advanced Technical Skills: Full independence in your technical abilities. You are an expert in SQL, data pipeline tools (like dbt), and data analysis, with the ability to design and architect scalable, future-proofed data solutions. Leadership and Influence: Experience in mentoring and developing analysts. ...

execute on time-sensitive, critical initiatives.Advanced Technical Skills: Full independence in your technical abilities. You are an expert in SQL, data pipeline tools (like dbt), and data analysis, with the ability to design and architect scalable, future-proofed data solutions.Leadership and Influence: Experience in mentoring and developing analysts. ...

ideally within the Microsoft ecosystem or Azure Exposure to tools such as Sparx Enterprise Architect or similar modelling tools Familiarity with technologies such as DBT, PySpark or Python is beneficial Interest in progressing into a data architecture focused role Ability to engage with both technical and non technical stakeholders APPLY ...

cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable ...

write clear, performant, and reliable queries to transform large complex datasets) You have experience building and owning automated data pipelines with tools like DBT/Airflow Experimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions Ownership: You enjoy working independently in a fast ...

leverage visualisation tools to surface insights NICE TO HAVE BUT NOT ESSENTIAL Experience of working in regulated environments, Fintech or Financial Services. Experience using dbt, Superset, or Lightdash. Knowledge of advanced analytics techniques, including the use of Python and visualisation techniques. Additional Information Some of our benefits: 💰Base salary ...

testing and experimentation frameworks. Ability to investigate complex data sets and translate analysis into clear actions. Confident stakeholder communication skills. Experience with Python and dbt is desirable but not essential. What They Offer Salary up to £65,000 plus a competitive benefits package. Hybrid working with 3 to 4 days ...

Prefect, Dagster, or similar platforms. Optimize data warehouse performance, scalability, and cost through effective modeling and query optimization. Create clean, testable transformation workflows using dbt or equivalent frameworks. Establish data quality processes, including testing, monitoring, lineage tracking, and documentation. Build secure and privacy‐conscious data practices, including access controls … architectures. Practical knowledge of workflow orchestration tools such as Airflow, Prefect, Dagster, or similar technologies. Strong understanding of data modeling principles and experience with dbt or comparable transformation frameworks. Experience implementing data quality checks, monitoring, governance, and documentation practices. Ability to communicate technical concepts clearly and collaborate effectively with product ...

dimensions, ETL/ELT framework design. Production ETL development SSIS for understanding/decommissioning legacy work, plus modern alternatives (custom T-SQL frameworks, ADF, dbt, or equivalent) for new build. Operational SQL Server experience as the senior responsible person backups, restore, security, monitoring, performance triage, replication. Multi-instance estate experience … successful candidate to have a view on which tools add value where, and to bring that view to the role. Desirable Skills: Experience with dbt or comparable analytics-engineering frameworks. Experience working with legacy SSRS estates and migrating reporting workloads to Power BI. Experience with on-prem SQL Server ...

solutions, including model deployment, monitoring, evaluation, and lifecycle management Strong hands‐on understanding of modern data and AI tooling, ideally including SQL, Python, Snowflake, dbt, Airflow, Metabase, Tableau, and AWS‐based data services Experience with data ingestion, streaming, and change data capture tooling, such as Fivetran, Estuary, or similar platforms … Metabase and Tableau, with an understanding of how to drive adoption across business teams Experience with SQL transformation and analytics engineering workflows using dbt, including governance, standards, and enablement for analytics engineers Ability to oversee API‐based and batch data extraction processes, particularly those built in Python and orchestrated using ...

cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience ...

working with large-scale customer behaviour datasets. Experience in consumer tech, fintech, loyalty platforms, or other high-traffic digital products. Python/R/dbt exposure (not required). Industry background: While open, the strongest fits tend to come from tech-first consumer products where experimentation, app behaviour insights ...