26 to 50 of 503 dbt Jobs

teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling (dimensional, entity-relationship, event-driven) Understanding of marketing data ...

streaming vs batch) Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.) Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/ ...

production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery ...

marketing teams to align data solutions with business needsRequirementsStrong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)Experience with cloud data platforms (e.g., Azure, AWS, or GCP)Proficiency in data modelling (dimensional, entity-relationship, event-driven)Understanding of marketing data ecosystems ...

Flexera One for cost management Background in financial modelling, management accounting, or FP&A Data engineering certifications (Azure Data Engineer, AWS Data Analytics, dbt) ITIL Foundation certification Experience in hybrid environments bridging on-premises and cloud cost management About Us We're a global, team of innovators. Together, we harness ...

/Fabric, MCP‐style integrations, agentic assistants, code‐generation tools) with a pragmatic view on where they add value. Experience with Microsoft Fabric, dbt, Azure DevOps/GitHub Actions, and data‐quality tooling. AEGIS Values Fairness and respect We make decisions considering the best interests of key stakeholders. ...

structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience designing and implementing scalable data architectures ...

Flexera One for cost management Background in financial modelling, management accounting, or FP&A Data engineering certifications (Azure Data Engineer, AWS Data Analytics, dbt) ITIL Foundation certification Experience in hybrid environments bridging on‐premises and cloud cost management About us We’re a global, team of innovators. Together, we harness ...

expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure ...

expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure ...

expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure ...

expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure ...

operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar technologies is expected). Collaboration: Ability to work effectively ...

with a background in software engineering, product management or data analytics. Strong proficiency in Python or Java, SQL, and data pipeline frameworks (e.g., Airflow, dbt, Spark), with solid experience with the AWS ecosystem. Excellent problem-solving skills and ability to work in a fast-paced environment. Bachelor’s degree ...

including complex queries, window functions, and performance optimisation. Google BigQuery, including table design, partitioning, clustering, and query performance tuning Dataform or equivalent transformation frameworks (dbt, etc.), writing SQLX, managing dependencies, and maintaining modular, well‐tested transformation logic Solid understanding of ETL/ELT pipeline design, including incremental loads, idempotency, error ...

Ability to work proactively and independently while collaborating effectively with wider teams. Desirable Experience Python for data engineering or pipeline development. Fivetran, Alteryx or dbt . Data migration from legacy platforms or systems. Experience working with both relational and non-relational databases. Experience supporting finance, reporting or commercially focused data ...

cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding of analytical and dimensional data modelling. Experience with dbt or comparable modern transformation tooling. Familiarity with Git, CI/CD, automated testing and data quality practice. A collaborative mindset and a genuine interest ...

Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

/ELT pipelines and automated data workflows. Experience integrating heterogeneous data sources, databases and APIs. Experience with workflow orchestration tooling (e.g. Airflow, Dagster or dbt) for scheduling and operating production data pipelines. Good understanding of data quality, metadata, lineage, testing and reproducibility. Ability to evaluate technical options and make pragmatic ...

Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster. Strong communicator: Skilled at writing ...

make, document and communicate technical design decisions Experience mentoring or supporting other engineers Excellent written and verbal communication skills Desirable experience Experience with Snowflake, dbt or Fivetran Experience working with AWS/Glue Experience with MySQL or SQL Server Experience with Salesforce Familiarity with JSON and data integration formats ...

modern data architectures (data lakehouse, event-driven pipelines, and orchestration systems). Strong proficiency in Python, SQL, and IaC (Terraform). Experience using dbt, Snowflake, AWS, orchestration tool like Prefect. Experienced in building and maintaining batch and streaming data pipelines at scale. Skilled in managing and optimising cloud infrastructure ...

model-data pipelines. Knowledge graphs, ontologies, RDF, linked data or advanced semantic technologies. Databricks or cloud architecture/data-engineering certification. Tools such as dbt, Kafka, Airflow, Terraform, Power BI, Tableau, Collibra or Microsoft Purview. Architecture across multiple products, domains or business units in B2B software, information services, consulting ...

business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data ...