76 to 100 of 411 dbt Jobs

large-scale data processingHands-on experience with Databricks and Delta LakeSolid understanding of the end-to-end data lifecycle (ingestion transformation serving)Experience with dbt for transformations and Terraform for infrastructure as codeFamiliarity with CI/CD pipelines and modern data engineering best practicesStrong grounding in data modelling, quality ...

team efficiency. Technical skills: - Advanced SQL: Ability to independently build efficient, readable queries spanning data extraction, transformation, and DDL/DML operations. - Hands-on DBT experience, including materialisation strategy trade-offs and data quality testing. - Experience working with a modern data warehouse such as Snowflake. - Comfortable working with high-volume ...

inheriting years of technical debt, you'll have the opportunity to influence architecture, standards, and ways of working from the beginning. Tech Stack: * Snowflake * dbt * Python * AWS * PowerBI Responsibilities: * Designing, developing, and evolving scalable Data Warehouse and ELT solutions * Driving modern DataOps practices including CI/CD, GitOps, testing ...

production setting. Experience working with GCP native data toolset is preferred. Having built ELT or ETL pipelines processing large amounts of data. Experience with dbt or Airbyte is preferred. Experience developing production Spark or Hadoop applications Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/ ...

understand performance and make confident decisions. Using data to investigate business challenges, identify trends and uncover opportunities to improve performance. Writing SQL and using dbt to build and maintain robust data models. Taking ownership of analytical work from the initial business question through to recommendation, delivery and measurement of impact. ...

explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position.Previous professional experience:Data transformations using dbt, including patterns for large, complex projectsData storage (SQL/NoSQL): schema design, modelling at scale, and multi-tenant isolationBack-end engineering: Python (nice to have ...

data platforms using Snowflake.Define and enforce data architecture standards, including modeling, naming conventions, and best practices.Design and implement robust ETL/ELT pipelines using DBT and cloud-native tools.Collaborate with global stakeholders (business, analytics, clinical, and IT teams) to translate requirements into scalable solutions.Drive data governance, lineage, cataloging, and quality ...

quantify marketing's contribution to pipeline and bookings, in partnership with our GTM/RevOps analytics.Own marketing data models and the semantic layer. Author dbt models on BigQuery integrating HubSpot, Salesforce, Google Analytics and Amplitude, and own the Omni semantic layer so the team gets self-serve answers ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

Experience with schema versioning, contract testing, and backward‐compatibility strategies Experience building and operating data pipelines on cloud data platforms Strong working knowledge of dbt for data transformations, testing, and documentation Familiarity with Snowflake data modelling, optimisation, and cost‐aware design Understanding of data quality, lineage, and observability concepts ...

Looking For Core Skills & Experience Experience in analytics engineering, data engineering, or product analytics Strong SQL and experience working in Databricks/Spark/DBT/Python Solid understanding of behavioural and event based data modelling Hands‐on experience with product analytics platforms (e.g. Mixpanel, Adobe or similar) Experience building ...

strong command of advanced analytical patterns Expert visualisation skills and report and dashboard building, preferably in Power BI and Sigma Hands-on experience with dbt for developing, testing, and maintaining analytics-ready data models. Stakeholder management and working across multiple performance streams in the business, up to director level Ability ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

with a strong command of advanced analytical patternsExpert visualisation skills and report and dashboard building, preferably in Power BI and SigmaHands-on experience with dbt for developing, testing, and maintaining analytics-ready data models.Stakeholder management and working across multiple performance streams in the business, up to director levelAbility to work ...

deliver high-quality technical solutions. Even better if you have Databricks certifications Experience with Unity Catalog, MLflow or Databricks Asset Bundles Familiarity with dbt or a similar transformation framework Exposure to Kafka, Event Hubs or other real-time streaming technologies Experience working with retail or consumer packaged goods data, including ...

explain analysis clearly to both technical and non-technical stakeholders.Nice to haveExperience working in SaaS, fintech, B2B technology, or a scaling businessExperience with Python, dbt, data modelling, data warehouses, or advanced analytics techniques is advantageousJob InformationDate Opened 27/07/2026 Job Type Full time Industry SaaS City London ...

This is an opportunity to join at an exciting point in the journey, as the organisation continues to evolve towards a modern, Snowflake- and dbt-led data architecture. You'll have the opportunity to influence engineering standards, build new data products and help shape how data is engineered and used … pipelines and data products across a modern cloud data environment. You'll be involved in: Building and maintaining ELT/data transformation pipelines using dbt and cloud data platforms Developing robust and scalable data pipelines using Python and SQL Designing and maintaining data models to support analytics, reporting and data ...

organization.Commitment to developing talent and building high-performing, diverse teams.Experience with platforms and tools such as AWS, Azure, Python, Spark, Airflow, Kubernetes, DBT, Databricks, and modern front-end frameworks.“I can apply in less than 4 minutes.” You’ve reviewed this job posting and you’re ready to start ...

request volumes, large data volumes, or both.Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies.Strong production Python experience and awareness of other relevant languages (Java/Kotlin) sufficient ...

products such as EC2, ECS, Lambda and RDS.• Familiarity with data orchestration technologies such as Dagster, or a strong desire to learn.• Familiarity with DBT or similar tools for data transformation, or a strong desire to learn.• Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and continuous ...

practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes ...

data contracts, pipeline observability, SLA/SLO definition, and automated alerting and remediation Solid understanding of SQL transformation patterns and modern tooling such as dbt, alongside experience managing ingestion estates with third-party connectors and in-house integrations Clear and confident communicator able to work cross-functionally with non-technical ...