Data Consultant

1 Month ago • All levels

Job Summary

Job Description

The Data Consultant will be responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making. They will design and develop data pipelines using Python, lead and mentor a team of data professionals, and contribute to agile ceremonies. The role involves working with various Azure services, ETL processes, and platform monitoring. The consultant will also be involved in client discussions. The consultant must have advanced English speaking and writing abilities.
Must have:
  • Design and develop data pipelines.
  • Proficiency in Python (pandas, PySpark).
  • Lead and mentor teams effectively.
  • Experience with Databricks, Snowflake etc.
  • Experience with Azure services.
  • Understanding of ETL processes.
  • Knowledge of RDBMS (SQL Server, Oracle, DB2).
  • Excellent communication skills.
  • Advanced English speaking and writing.
Good to have:
  • Experience with IaC tools.
  • Experience working in an Agile environment.
Perks:
  • Competitive salary package, share plan, bonuses.
  • Career coaching, global career opportunities.
  • Internal development programs.
  • Training, certifications, coaching.
  • Hybrid work and flexible working hours.
  • Employee assistance programme.
  • Global internal wellbeing programme.
  • Inclusion and diversity programmes.

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. 

Responsibilities:

  • Develop the architecture for the data pipelines and implement it using Python
  • Actively involved in onboarding data sources through data pipelines - ingestion, transformations, data storing, and orchestration of the pipelines
  • Leads and mentors a team of data professionals by providing guidance and support in their day-to-day tasks and overall professional development
  • 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

  • Hands on experience in designing and developing data pipelines and managing data infrastructure
  • Proficiency in Python (pandas, PySpark)
  • Proven experience in leading and mentoring teams
  • Background and experience with tools and technologies like Databricks, Glue, Athena, Snowflake, Synapse, Redshift, BigQuery, Apache Spark, Kimball Data Mart, etc, 
  • Experience with various Azure services for data processing and storage
  • Understanding of Extract Transform Load (ETL) processes as well as platform monitoring and CI/CD processes
  • Knowledge of one or more RDBMS (SQL Server, Oracle, DB2) 
  • Experience with IaC tools will be an advantage
  • Experience working in an Agile environment 
  • Excellent communication skills and the ability to take part in both team debates as well as client discussions 
  • Advanced English speaking and writing abilities are required.

Additional Information

  • 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, we’re 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 perspectives—because 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.

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