101 to 125 of 491 dbt Jobs

lifecycle. What you’ll be doing Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) Define ...

PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical ...

with exceptional attention to detail. Excellent communication and collaboration skills. Preferred Qualifications Experience with ETL/ELT tools and data orchestration frameworks (e.g., Airflow, dbt). Familiarity with cloud environments such as AWS, Azure, or Google Cloud Platform. Exposure to CI/CD tools (e.g., Jenkins, GitHub Actions). Experience ...

Build scalable ingestion, transformation, and serving layers. Data Integration Design batch, streaming, CDC, and API-based integration solutions. Architect ETL/ELT pipelines using dbt, Azure Data Factory, Apache Airflow, Informatica, Talend, and Fivetran. Establish reusable integration patterns and frameworks. Data Modeling Design star schema, snowflake schema, normalized, and dimensional … Data Platforms Snowflake Databricks Microsoft Fabric Azure Synapse Analytics BigQuery Redshift Programming Python SQL PySpark Scala (preferred) Data Integration Azure Data Factory Apache Airflow dbt Informatica Talend Kafka Databases SQL Server Oracle PostgreSQL MongoDB Cosmos DB Data Governance Microsoft Purview Collibra Alation Unity Catalog DevOps Git Azure DevOps GitHub Actions ...

mentoring other engineers and working effectively within cross-functional teams. Nice-to-have experience Microsoft Fabric, including Lakehouse, Warehouse, and Data Factory capabilities. Dbt, including experience developing, testing and maintaining transformation models. Infrastructure as Code approaches and tools such as Terraform. API-based, event-driven or operational system integrations, such ...

while exploring how Agentic AI is transforming data engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda ...

data lineage, and GxP-compliant governance policies using Collibra Data Intelligence Cloud . devops & metadata integration: connect Collibra with GitHub to parse technical lineage (dbt, LookML) and develop custom API integrations. strategic influence: translate complex pharma business challenges across R&D, clinical, or commercial domains into practical, compliant architecture. ...

Looking For 3+ years' experience in Analytics Engineering or a closely related data role. Strong experience building tested, version-controlled SQL transformations using dbt, SQLMesh or similar. Advanced SQL skills. Experience working with a cloud data warehouse, ideally Snowflake. Experience with a modern BI or semantic-layer platform such ...

that power business critical dashboards, enable self-service analytics, and fuel advanced machine learning models and real-time data products. Working with tools like DBT, Spark, and Airflow, you'll transform high volume raw event data into user-friendly, high impact datasets that support machine learning use cases across ...

wait to be told what to analyze next. Nice to Have Experience in crypto, payments, banking, fraud, or compliance. Familiarity with dbt, Airflow, or similar data-stack tooling. Exposure to causal inference (difference-in-differences, propensity scoring, uplift modeling). Experience deploying models to production (batch or real-time) alongside ...

Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset Other: Claude WHAT WE’RE LOOKING FOR Strong fundamentals ...

reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability. Programming & querying: You are comfortable working in at least ...

challenge ideas, learn, and grow. Nice to have Hands-on familiarity with the modern data stack — for example, Spark, Flink, Kafka, Debezium, Airflow, dbt, or similar — and with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices. Experience leading teams that built data platforms used by multiple teams ...

Ideal candidates are hands-on Data Engineers with strong SQL and Python, ETL/ELT, orchestration, streaming, and warehousing experience across Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. #J-18808-Ljbffr ...

PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical ...

both technical and non-technical stakeholders. Nice to have Experience working in SaaS, fintech, B2B technology, or a scaling business Experience with Python, dbt, data modelling, data warehouses, or advanced analytics techniques is advantageous #J-18808-Ljbffr ...

that outlast individual projects Has knowledge of GDPR and data security best practices Understands data storage, data modelling principles, best practices and tools (e.g. dbt) Communicates with clarity and confidence, able to lead design discussions, articulate technical trade‐offs to non‐technical stakeholders, and build alignment across teams Is curious ...

delivered modern data platforms end to end on AWS and/or Databricks Still writes production-grade code: strong Python and SQL, Spark, dbt or equivalent, infrastructure-as-code (Terraform preferred) Track record in a consultancy, systems integrator or other client-facing setting comfortable being accountable to a paying client ...

delivered modern data platforms end to end on AWS and/or Databricks Still writes production-grade code: strong Python and SQL, Spark, dbt or equivalent, infrastructure-as-code (Terraform preferred) Track record in a consultancy, systems integrator or other client-facing setting — comfortable being accountable to a paying client ...

similar platforms Prior experience mentoring junior analysts or leading small data-focused initiatives with limited supervision Previous exposure to ETL tools such as dbt and GitLab Exposure to writing prompts and interpreting responses from Large Language Models (LLMs) for data-related tasks Life at WPP Media & Benefits Our passion ...

improve data integrity, reliability and quality . Experience with automated validation approaches using SQL/Python or technologies such as Great Expectations or dbt tests would be particularly relevant. Alongside hands-on delivery, you will have the opportunity to influence engineering standards, contribute to platform improvements and share your expertise ...

EngineerJob Location :London, UK ( 2 days a week in client office, 3 days remote)Job Type :Permanent, Contract, FTCJob Description:Mandatory Skillsets: Python, Snowflake, dBT, dremio, glue jobs, Apache iceberg, AWS ,SQLKey Responsibilities:Architect and Develop: Contribute to the platforms architectural design and build integration, modelling, data persistence, and analytical ...

clearly to both technical and non-technical stakeholders. Experience with BI and visualisation tools such as Power BI, Tableau, Looker, or similar. Familiarity with dbt and modern analytics engineering practices is highly desirable. BENEFITS Salary between £50,000 - £60,000 - depending on experience #J-18808-Ljbffr ...

cashflow and waterfall models supporting portfolio decision-making, new facility structuring and refinancing Write production-quality SQL and Python and build database tables and dbt models alongside our data engineering teams, so that monitoring is self-serve rather than a recurring manual task Bring engineering discipline to analytical work — version ...

development. Experience with PySpark, Polars or Dask is also valuable. Python, including testing, build tooling and engineering best practices. SQL, including Snowflake‐optimised SQL. dbt, including Jinja templating, or equivalent transformation frameworks. CI/CD, ideally with GitHub Actions, TeamCity or Artifactory. Agile software/data engineering environments and modern ...