Senior Data Engineer (Azure)

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:

• Data Pipeline Development: Building and maintaining robust data pipelines to ensure efficient data flow.
• ETL Processes: Expertise in Extract, Transform, Load (ETL) processes to prepare data for analysis  using Azure Data factory ADF  / Talend .
• Big Data Technologies: Proficiency with tools  Apache Spark, Apache Kafka with DataBricks
• Cloud Platforms: Experience with cloud services such as Azure with Storage ADLS2.
• Database Management: Strong skills in Azure SQL  database , Azure Cosmos DB , Azure Synapse.
  Programming Languages: Proficiency in Python, Java, or Scala in DataBricks.
• Data Warehousing: Experience with data warehousing solutions like Redshift or Snowflake.
• Collaboration: Working closely with data scientists, analysts, and other stakeholders to understand data needs and translate them into efficient solutions.

Qualifications

• Azure databricks
• Proficiency in Python.
• Azure Functions
• Azure Synapse Analytics, Azure SQL.
• CosmoDB
• Experience implementing ETL/ELT process and Data pipelines.
• Experience with Snowflake.
• Strong SQL scripting experience.
• Background and experience with cloud data technologies and tools.
• Familiar with Data warehouse tools, Scala, Spark, Voltage, Azure Data Factory.

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.

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.