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. 

As a [job title] at Endava...[enter 2-3+ sentences here describing the core responsibilities and expectations of the role] 

Responsibilities:

• Working with Endava’s customers to analyze existing systems and prepare plan for migrating databases and data processing systems to cloud
• Defining and implementing cloud data strategy including security posture, target operating model, DR strategy and others
• Deliver end-to-end data solution – from early concept and planning, through early PoCs and benefits analysis, all the way to production roll outs.
• Enhance client’s data landscape by improving data lineage, quality and reliability
• Help organizations adopt AI/ML based solutions by introducing MLOps culture
• Be part of technical advisory and cloud infrastructure team responsible for
  • Secure 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 entire software development lifecycle, CI & CD as well as Data/MLOps approach
• Expert knowledge of SQL and at least one language used in Data Analytics/Science space (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
• Working experience with BI Tools (Looker, Power BI, Tableau, Data Studio)
• Basin understanding of GIT 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.