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.
As a Senior Data Engineer at Endava, you will join an exciting tech hub, taking charge of end-to-end development on the data platform, including test development to ensure service delivery meets expectations. You will provide full-stack data expertise from design to build and play a key role in mentoring, while contributing to design and architectural decisions
Responsibilities:
- Work closely with development team members to understand evolving needs and define the data processing flow or interactive reports.
- Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
- Design and build processes, data transformation, and metadata to meet business requirements and platform needs.
- Collaborate with the data architect to create and maintain source to target mapping documentation
- Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives
- Develop, maintain, test, and evaluate big data solutions.
- Focus on production status and data quality of the data environment.
- Pioneer initiatives around data quality, integrity, and security.
Qualifications
- +5 years of experience in Data Engineering.
- Proficiency in Azure and Data Bricks
- 1 -2 years of experience with Snowflake, and MS Fabrics
- Some experience leading IT projects and stakeholder management.
- Experience implementing ETL/ELT process and Data pipelines.
- Background and experience with cloud data technologies and tools.
- Familiar with different data tools and technologies and willingness to learn more.
- Strong analytic skills related to working with structured and unstructured data sensibilities.
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for technical leadership.
- Learning Opportunities: Complex projects, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions and, workshops.
- Work-Life Balance: Hybrid work, 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.
Top Skills
What We Do
Endava is reimagining the relationship between people and technology.
