Valtech
Why Valtech? Were advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. Were looking ahead We are global
Join our innovative, fast-growing data team at the forefront of cloud data architecture. We're building scalable, secure, and modern data platforms using cutting-edge Snowflake and modern data stack technologies. If you're passionate about creating high-performance data infrastructure and solving complex data challenges in a cloud-native environment, this is the perfect opportunity for you.
As a Senior Data Engineer specializing in Snowflake and the modern data stack, you will architect and implement enterprise-grade cloud-native data warehousing solutions. This is a hands-on engineering role with significant architectural influence, where you'll work extensively with dbt, Fivetran, and other modern data tools to create efficient, maintainable, and scalable data pipelines using ELT-first approaches.
What you do
Technical Expertise: Snowflake Mastery: Deep expertise in Snowflake including architecture, access controls, security, and performance tuning dbt Proficiency: Advanced proficiency in dbt including macros, packages, testing frameworks, and best practices Data Ingestion: Strong experience with data ingestion tools like Fivetran, Stitch, Singer, or similar ELT platforms SQL & Data Modeling: Proficiency in SQL and data modeling techniques (dimensional modeling, data vault, star schema) Cloud Platforms: Experience with cloud platforms (preferably AWS, GCP, or Azure) and their native data services Orchestration: Knowledge of data orchestration tools like Airflow, Prefect, or Dagster Programming: Python programming skills for data processing, scripting, and automation DevOps: Understanding of CI/CD practices, Git-based workflows, and version control systems Data Management: Understanding of data governance frameworks and data quality practices Experience with data validation and testing methodologies Familiarity with data visualization tools (Tableau, Looker, Power BI) Preferred Qualifications & Certifications: Bachelor's degree in Computer Science, Engineering, or related field 47 years of hands-on experience in data engineering with strong focus on cloud data warehousing Snowflake SnowPro Core and Advanced/Architect certifications dbt Analytics Engineering or dbt Practitioner certification Advanced Technologies: Experience with reverse ETL tools like Census, Hightouch, or Polytomic Knowledge of streaming data platforms (Kafka, Kinesis, Pub/Sub) Experience with data catalog tools (Alation, Collibra, DataHub) Understanding of DataOps, analytics engineering, and data mesh architecture principles Experience with containerization (Docker) and Kubernetes Exposure to containerized environments and modern deployment practices Technology Stack: Core Technologies Data Warehouses: Snowflake (primary), BigQuery ELT & Transformation: dbt, Dataform Data Ingestion: Fivetran, Stitch, Singer-based connectors Orchestration: Airflow, Prefect, Dagster Quality & Testing: Great Expectations, dbt tests Observability: Monte Carlo, Datafold Data Catalog: Alation, Collibra, DataHub Visualization: Looker, Tableau, Power BI What we ask Data Architecture & Engineering: Design and implement enterprise-scale, robust data warehouse solutions using Snowflake Architect scalable ELT pipelines using Fivetran, Stitch, Singer, and custom connectors Build automated data ingestion processes and maintain data transformation workflows Develop and maintain data transformation pipelines using dbt (data build tool) with modular and test-driven design Data Modeling & Optimization: Implement data modeling best practices including dimensional modeling, data vault, and star schema designs Optimize Snowflake warehouse performance, including query optimization, cost management, and resource management Apply advanced Snowflake features for architecture, security, and performance tuning Quality & Governance: Develop and maintain comprehensive data quality tests and monitoring using dbt tests and Great Expectations Implement data governance, lineage, and security policies within Snowflake Create and maintain comprehensive data documentation and lineage tracking Build data validation and testing frameworks for proactive data monitoring DevOps & Automation: Build and maintain CI/CD pipelines for dbt projects and data warehouse deployments Develop custom Python scripts for data processing, manipulation, and automation tasks Implement data observability and monitoring solutions using tools like Monte Carlo and Datafold Work with orchestration tools for pipeline scheduling and management Collaboration & Analytics: Collaborate with analytics teams and data scientists to support self-service data access Enable self-service analytics capabilities for business users Work closely with stakeholders to understand data requirements and deliver solutions What we offer Youll join an international network of data professionals within our organisation. We support continuous development through our dedicated Academy. If you're looking to push the boundaries of innovation and creativity in a culture that values freedom and responsibility, we encourage you to apply. At Valtech, were here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what were doing to create a Valtech for everyone here . Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. Wed love to hear from you and see if youre our next member of the Valtech team! Contact us
We would love to hear from you! Please fill out the form and the nearest person from office will contact you. Should you need an alternative format and/or communication support to provide feedback please contact Sheree Atcheson . Let's reinvent the future In 5 seconds you will be redirected to valtech.com automatically In 5 seconds you will be redirected to valtech.com automatically In 5 seconds you will be redirected to valtech.com automatically In 5 seconds you will be redirected to valtech.com automatically #J-18808-Ljbffr
Technical Expertise: Snowflake Mastery: Deep expertise in Snowflake including architecture, access controls, security, and performance tuning dbt Proficiency: Advanced proficiency in dbt including macros, packages, testing frameworks, and best practices Data Ingestion: Strong experience with data ingestion tools like Fivetran, Stitch, Singer, or similar ELT platforms SQL & Data Modeling: Proficiency in SQL and data modeling techniques (dimensional modeling, data vault, star schema) Cloud Platforms: Experience with cloud platforms (preferably AWS, GCP, or Azure) and their native data services Orchestration: Knowledge of data orchestration tools like Airflow, Prefect, or Dagster Programming: Python programming skills for data processing, scripting, and automation DevOps: Understanding of CI/CD practices, Git-based workflows, and version control systems Data Management: Understanding of data governance frameworks and data quality practices Experience with data validation and testing methodologies Familiarity with data visualization tools (Tableau, Looker, Power BI) Preferred Qualifications & Certifications: Bachelor's degree in Computer Science, Engineering, or related field 47 years of hands-on experience in data engineering with strong focus on cloud data warehousing Snowflake SnowPro Core and Advanced/Architect certifications dbt Analytics Engineering or dbt Practitioner certification Advanced Technologies: Experience with reverse ETL tools like Census, Hightouch, or Polytomic Knowledge of streaming data platforms (Kafka, Kinesis, Pub/Sub) Experience with data catalog tools (Alation, Collibra, DataHub) Understanding of DataOps, analytics engineering, and data mesh architecture principles Experience with containerization (Docker) and Kubernetes Exposure to containerized environments and modern deployment practices Technology Stack: Core Technologies Data Warehouses: Snowflake (primary), BigQuery ELT & Transformation: dbt, Dataform Data Ingestion: Fivetran, Stitch, Singer-based connectors Orchestration: Airflow, Prefect, Dagster Quality & Testing: Great Expectations, dbt tests Observability: Monte Carlo, Datafold Data Catalog: Alation, Collibra, DataHub Visualization: Looker, Tableau, Power BI What we ask Data Architecture & Engineering: Design and implement enterprise-scale, robust data warehouse solutions using Snowflake Architect scalable ELT pipelines using Fivetran, Stitch, Singer, and custom connectors Build automated data ingestion processes and maintain data transformation workflows Develop and maintain data transformation pipelines using dbt (data build tool) with modular and test-driven design Data Modeling & Optimization: Implement data modeling best practices including dimensional modeling, data vault, and star schema designs Optimize Snowflake warehouse performance, including query optimization, cost management, and resource management Apply advanced Snowflake features for architecture, security, and performance tuning Quality & Governance: Develop and maintain comprehensive data quality tests and monitoring using dbt tests and Great Expectations Implement data governance, lineage, and security policies within Snowflake Create and maintain comprehensive data documentation and lineage tracking Build data validation and testing frameworks for proactive data monitoring DevOps & Automation: Build and maintain CI/CD pipelines for dbt projects and data warehouse deployments Develop custom Python scripts for data processing, manipulation, and automation tasks Implement data observability and monitoring solutions using tools like Monte Carlo and Datafold Work with orchestration tools for pipeline scheduling and management Collaboration & Analytics: Collaborate with analytics teams and data scientists to support self-service data access Enable self-service analytics capabilities for business users Work closely with stakeholders to understand data requirements and deliver solutions What we offer Youll join an international network of data professionals within our organisation. We support continuous development through our dedicated Academy. If you're looking to push the boundaries of innovation and creativity in a culture that values freedom and responsibility, we encourage you to apply. At Valtech, were here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what were doing to create a Valtech for everyone here . Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. Wed love to hear from you and see if youre our next member of the Valtech team! Contact us
We would love to hear from you! Please fill out the form and the nearest person from office will contact you. Should you need an alternative format and/or communication support to provide feedback please contact Sheree Atcheson . Let's reinvent the future In 5 seconds you will be redirected to valtech.com automatically In 5 seconds you will be redirected to valtech.com automatically In 5 seconds you will be redirected to valtech.com automatically In 5 seconds you will be redirected to valtech.com automatically #J-18808-Ljbffr