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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 like 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 stakeholders to understand data needs and develop solutions.
Qualifications
* Experience with Azure DataBricks and proficiency in Python.
* Knowledge of Azure Functions, Azure Synapse Analytics, Azure SQL.
* Experience with CosmosDB, ETL/ELT processes, and data pipelines.
* Familiarity with Snowflake and strong SQL scripting skills.
* Background in cloud data technologies and tools, with knowledge of Data Warehouse tools, Scala, Spark, and 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, share plan, bonuses, recognition awards, referral bonus.
* Career Development: Coaching, global opportunities, internal programs for management and technical growth.
* Learning Opportunities: Complex projects, rotations, tech communities, training, certifications, workshops, conferences.
* Work-Life Balance: Hybrid work, flexible hours, employee assistance programs.
* Health: Wellbeing programs, access to wellbeing apps.
* Community: Tech communities, hobby clubs, inclusion and diversity programs, events.
At Endava, we’re committed to an inclusive environment where everyone feels valued. We welcome applicants from all backgrounds. If you need support during recruitment, please let us know.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
Industries
* IT Services and IT Consulting
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