Data Consultant

4 Minutes ago • 5 Years +

Job Summary

Job Description

The Data Consultant at Endava will join a data team specializing in engineering, analysis, architecture, modeling, machine learning, AI, and data science. This role focuses on technical implementation of data projects, including designing and building data warehouse solutions, developing migration frameworks, and creating data reporting systems. Responsibilities involve developing data pipeline architectures using ETL tools, collaborating on data mapping, ensuring data quality, and contributing to agile processes. The position requires strong experience in data infrastructure, platforms, Python, SSIS, and cloud technologies.
Must have:
  • Develop and implement data pipeline architecture using ETL tools like Azure Data Factory, Glue, or Airflow.
  • Collaborate with data architects on source to target mapping documentation.
  • Identify, document, and develop measures for data quality objectives.
  • Experience with data migration projects across different hosting environments.
  • Contribute to agile ceremonies and size tasks.
  • 5+ years experience designing and developing data pipelines and managing data infrastructure.
  • 5+ years experience with data platforms like Oracle or SQL Server.
  • 2-5 years experience with Python and Microsoft SSIS.
  • 1-2 years experience in Cloud technologies like AWS or Snowflake.
  • Understanding of Extract Transform Load (ETL) processes.
Good to have:
  • Lead experience
  • Great interpersonal and communication skills
Perks:
  • Competitive salary package
  • Share plan
  • Referral bonus
  • Career coaching
  • Global career opportunities
  • Non-linear career paths
  • Internal development programmes for management and technical leadership
  • Complex projects
  • Rotations
  • Internal tech communities
  • Training
  • Certifications
  • Coaching
  • Online learning platforms subscriptions
  • Pass-it-on sessions
  • Workshops
  • Conferences
  • Hybrid work
  • Flexible working hours
  • Employee assistance programme
  • Global internal wellbeing programme
  • Access to wellbeing apps
  • Hobby clubs and interest groups
  • Inclusion and diversity programmes
  • Events and celebrations

Job Details

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 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:

  • Develop the architecture for the data pipelines and implement in different ETL tools (Azure Data Factory, Glue, Airflow or any other)
  • Collaborate with the data architect to create and maintain source to target mapping documentation
  • Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives
  • Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.)
  • Contribute to agile ceremonies, size tasks and deliverables

Qualifications

  • Bachelor's Degree or equivalent experience
  • 5+ years of experience designing and developing data pipelines and managing data infrastructure
  • 5+ years of experience with one or more data platforms (Oracle, SQL Server)
  • 2 - 5 years of experience with Python and Microsoft SSIS
  • 1 - 2 years of experience in Cloud technologies (AWS, Snowflake)
  • Lead experience highly preferred
  • Understanding of Extract Transform Load (ETL) processes
  • Great interpersonal and communication 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, 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.

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