Snowflake - Senior Data Engineer

Why Valtech? We're advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. We're 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

4–7 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

You'll 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, we're 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 we're 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. We'd love to hear from you and see if you're 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

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