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 at Endava you will focus on the technical implementation of various data projects, from designing and building DW solutions, to developing end to end migration frameworks or building data reporting systems.

Responsibilities:

• Lead the development of solution architectures for data migration and integration.
• Design the architecture for data pipelines and implement using Apache Airflow (or Astronomer) as the primary orchestration tool.
• Collaborate with the Data Architect to create and maintain source-to-target mapping documentation.
• Identify, document, and implement measures to visualize and track data quality across pipelines.
• Drive end-to-end data migration projects between systems hosted in different environments (on-premises, AWS, Azure, etc.).
• Participate in Agile ceremonies, define task sizes, and set clear deliverables.
• Prepare detailed technical plans and coordinate resources within change programs.
• Advise on technical aspects of solution development, ensuring correct application of strategies, policies, standards, and security best practices.

Qualifications

• 8+ years of experience in designing, developing, and managing data solutions, with at least 3 end-to-end data migration projects from SQL Server to Cloud (Snowflake, Azure, AWS, or GCP).
• Proven track record leading data migration projects from planning and initial analysis through execution, validation, and production deployment.
• 3+ years of hands-on Snowflake experience, including architecture, development, and optimization.
• Strong understanding of data modeling techniques (3NF, dimensional modeling, Data Vault).
• Extensive experience designing and optimizing data pipelines, ETL/ELT processes, and both batch and streaming data processing.
• 5+ years of experience with one or more data platforms (e.g., Oracle, SQL Server).
• Proficiency in Python, SQL, and Microsoft SSIS; Scala is a plus.
• Knowledge and experience in Cloud technologies (Azure, AWS, or GCP), including orchestration tools such as Airflow.
• SnowPro Core and SnowPro Advanced Architect certifications are a strong plus.
• Experience managing multidisciplinary teams, setting priorities and deliverables, and reporting progress to executive stakeholders.
• Excellent communication skills in advanced English (oral and written).

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
• 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