[Hiring] Senior Data Engineer @ZigZag Careers

Role Description

We are seeking an experienced Senior Data Engineer to design, build, and scale modern cloud-based data platforms that enable trusted analytics, operational reporting, and data driven decision making across the organisation. This role will play a critical part in evolving our data architecture, data engineering practices, and analytics capabilities, with a strong focus on Snowflake as the core enterprise data platform.

As a senior member of the data team, you will be responsible for:

• Building robust and scalable data pipelines
• Optimising data models
• Improving data quality and governance
• Enabling self-service analytics capabilities for business and engineering stakeholders

The ideal candidate combines strong technical depth in modern data engineering practices with a pragmatic mindset, excellent stakeholder engagement skills, and a passion for building reliable and scalable data platforms.

Qualifications

• 5+ years of experience in Data Engineering, Analytics Engineering, or related data platform roles
• Strong hands-on expertise with Snowflake in enterprise-scale environments
• Advanced SQL skills with experience optimising complex analytical queries and data transformations
• Strong analytical, troubleshooting, and problem-solving capabilities
• Excellent communication and stakeholder engagement skills
• Ability to work effectively in fast-paced, agile, and collaborative environments

Requirements

• Experience designing and supporting multi-region and enterprise-scale data platform architectures
• Strong experience driving performance optimisation and cloud cost efficiency initiatives across large-scale data workloads
• Strong understanding of platform reliability, operational maturity, resilience, and production support practices
• Experience implementing advanced governance, security, access control, and data protection models within enterprise data platforms
• Strong capability in developing architectural standards, engineering documentation, and scalable platform design patterns
• Strong experience building and maintaining modern ELT/ETL pipelines and orchestration workflows
• Strong understanding of modern data warehousing concepts, dimensional modelling, and scalable data architecture
• Experience working with cloud platforms such as AWS, Azure, or GCP
• Experience with data transformation and orchestration tools such as dbt, Airflow, Fivetran, Matillion, or equivalent platforms
• Experience integrating structured and semi-structured data sources
• Strong understanding of data governance, security, and access management principles
• Proven ability to manage large and complex datasets in production environments

Benefits

• Collaborate closely with Product, Engineering, Operations, Finance, and Business stakeholders to deliver impactful data solutions
• Mentor and support junior engineers and analysts within the broader data function
• Contribute to data engineering standards, best practices, and platform strategy
• Drive continuous improvement initiatives across data architecture, tooling, and delivery practices
• Work cross-functionally to improve organisational data literacy and data maturity

Company Description

ZigZag is committed to building a diverse, inclusive, and equitable workplace. We believe that talent knows no borders, and we welcome individuals from all backgrounds to help us shape the future of work. Guided by transparency and agility, we foster an environment where everyone is valued and empowered to thrive.