Senior Data Engineer

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. 

A Senior Data Engineer designs, implements, and optimises scalable data pipelines and architectures. This role bridges raw data and actionable insights, ensuring robustness, performance, and data governance. Collaboration with analysts and scientists is central to delivering high-quality solutions aligned with business objectives.

Responsibilities:

• Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
• Employ frameworks such as Apache Spark, Databricks, or Airflow to automate ingestion, transformation, and delivery.
• Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
• Propose solutions for the cloud-based architecture and deployment flow.
• Design and build processes, data transformation, and metadata to meet business requirements and platform needs.
• Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
• Develop, maintain, test, and evaluate big data solutions.
• Focus on production status and data quality of the data environment.
• Apply robust security measures (RBAC, encryption) and ensure regulatory compliance (GDPR).
• Document data lineage and recommend improvements for data ownership and stewardship.
• Pioneer initiatives around data quality, integrity, and security.

Qualifications

• 5+ years of experience in Data Engineering
• Proficiency in working with relational and non-relational databases
• Experience with Python (or Java or Scala) and SQL
• Knowledge of cloud data technologies and tools (Azure is a big plus)
• Strong analytic skills related to working with structured and unstructured data sensibilities
• Some knowledge/experience with Apache Spark, Databricks or Snowflake is a big plus
• Experience with ETL/ELT process and Data pipelines is a plus
• Leadership and mentorship experience is a plus

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.