Data Consultant

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 Data Consultant / Architect at Endava you will design and manage data models and infrastructure for different clients. You will ensure that data is available, secure, and compliant with regulations. You will work in many industries, including finance, healthcare, and technology. 

Responsibilities:

• Lead the development of solution architectures.
• Data requirements gathering and design of Data Warehouse/Lakehouse and working with creating reporting/analytic base aggregate objects.
• Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state 
• Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps 
• Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met 
• Motivating and developing staff through teaching, empowering, and influencing technical and consulting “soft” skills 
• Collaborating with client stakeholders and development staff to ensure data architecture recommendations maximize the value of client data across the organization 
• Driving innovative technology solutions through thought leadership on emerging trends 
• Sharing project solutions and outcomes with colleagues to improve delivery on future projects.

Qualifications

• 5+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies 
• Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python
• Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks
• Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture 
• Ability to assess traditional and modern data architectural components based on business needs 
• Familiarity with recommending data governance best practices including MDM, security, privacy and policies
• Strong verbal and written communication skills
• Good client-facing skills.

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.