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.
Responsibilities:
- Develop the architecture for the data pipelines and implement it using Python.
- Actively involved in onboarding data sources through data pipelines – ingestion, transformations, data storing, and orchestration of the pipelines.
- Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.).
- Advise on technical aspects of solution development and ensure correct application of strategies, policies, standards, and practices, including security.
- Provide expert guidance on database and data warehouse architectures, software, and facilities.
- Ensures design supports performance and availability, and data warehouse design meets business intelligence and analytics needs.
- Adopt suitable methods and techniques, monitor adherence to standards, including security, and contribute to organizational policies and guidelines.
Qualifications:
- 6+ years of experience with large-scale data platforms and applications.
- Proficiency in Python (pandas, PySpark).
- Experience leading teams and stakeholder management.
- Strong data modeling skills (normalized and multidimensional).
- Experience with various Azure services for data processing and storage, data integration and analytics with Azure Synapse Workspaces.
- Experience implementing ELT processes and Data pipelines.
- Experience with major RDBMS (SQL Server preferred).
- Background and experience with data tools and technologies like Databricks, Snowflake, BigQuery, Redshift and other Data warehouse tools.
- Experience with Real-time and Batch processing; serverless processing.
- The ability to take the initiative, drive the project and innovate.
- Advanced English speaking and writing abilities are required.
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.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
