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:
- Working with Endavas customers to analyze existing systems and prepare plan for migrating databases and data processing systems to the cloud
- Defining and implementing cloud data strategy including security posture target operating model DR strategy and others
- Deliver end-to-end data solutions from early concept and planning through early PoCs and benefits analysis all the way to production rollouts.
- Enhance the clients data landscape by improving data lineage quality and reliability
- Help organizations adopt AI/ML-based solutions by introducing MLOps culture
- Be part of the technical advisory and cloud infrastructure team responsible for:
- Securing foundational Data Lakes and Data Meshes implementations
- Automated provisioning of infrastructure and pipelines
- Cloud-ready ETL/ELT architectures
- Presenting analytical findings on cutting-edge BI Dashboards
Qualifications :
- Understanding of the entire software development lifecycle CI/CD and Data/MLOps approach.
- Expert knowledge of SQL and at least one language used in Data Analytics/Science (Python R SAS).
- Knowledge of at least one programming language (Java C# C).
- Knowledge of Big Data and orchestration tools such as Apache Airflow or Spark.
- Experience working with relational and NoSQL databases.
- Hands-on experience with BI tools (Looker Power BI Tableau Data Studio).
- Basic understanding of GIT and various automation servers (Jenkins CircleCI GitLab CI).
- Knowledge of messaging systems.
- Basic knowledge of containers Docker and Kubernetes.
- Cloud certifications such as Associate Cloud Engineer will be an asset.
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 were 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 perspectivesbecause 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.
Remote Work :
No
Employment Type :
Full-time