Endava
Tech / AI / Software
DataConsultant
Neural analysis suggests this role is
optimal for mid candidates.
“Data Consultant at Endava. Skills: Snowflake, Coalesce. io / dbt, data pipelines, data models, migration processes, SQL, Python, Scala, Apache Spark, Databricks, Microsoft Azure. Design, build, and optimize data pipelines and transformations. Translate business requirements into technical data models and pipelines”
What You'll Achieve.
Ability to own and deliver data engineering solutions autonomously; business understanding and requirement translation capability; Commitment to data quality, governance, and scalability; Experience working in fast-paced, high-impact financial environment
Industry & Context.
Excellent analytical and problem-solving skills; Translate business requirements into technical solutions
What They're Looking For.
Must Have
expertise in SQL (advanced level), Hands-on experience with Snowflake, Experience with data transformation tools: Coalesce. io or dbt (Data Build Tool), Experience building ETL/ELT pipelines and data migration solutions, Knowledge of data modeling techniques Data Vault / Kimball (dimensional modeling), Experience working with CDC pipelines and large datasets (e.g., SQL Server CDC, ADF), Understanding of CI/CD practices in data engineering, Python, Scala, SQL, Apache Spark, Databricks (including Delta Lake and Delta Tables), Microsoft Azure (Azure Data Factory, Azure Event Hub, Azure Functions), Data pipelines, ETL/ELT design, batch and streaming data processing, Delta Tables, Azure Data Lake, Azure Blob Storage, Azure Data Factory (ADF), Azure Functions, Event-driven architecture, CI/CD pipelines, version control (Git), DevOps practices, Dimensional modeling, data lakes, lakehouse architectures, Performance tuning in Spark, job monitoring with Azure tools, Jira, Confluence, Agile/Scrum methodologies
Nice to Have
Experience in banking, asset management, or capital markets, Knowledge of data governance frameworks and enterprise data standards, Familiarity with data governance and lineage tools (e.g., Alation is a plus)
What You'll Do.
and optimize data pipelines and transformations
Translate business requirements into technical data models and pipelines
Embed data quality rules and validation checks within pipelines and data models
Provide technical guidance on Snowflake
and Fivetran usage and trade-offs
Ensure data governance
and metadata management using tools like Alation
Contribute to CI/CD processes
enabling automated deployments across environments
Define and enforce data engineering standards (naming conventions
designing and building DW solutions
developing end to end migration frameworks
building data reporting systems
How You'll Work.
Team & Collaboration
working closely with business stakeholders; stakeholder interaction; Collaboration Tools: Jira, Confluence, Agile/Scrum methodologies
Communication Scope
communication skills for stakeholder interaction
Process & Methodology
Agile/Scrum methodologies
Full Job 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. We are seeking a Data Consultant to join a high-impact project for a based private debt investment client. The role focuses on designing and implementing scalable data pipelines, data models, and migration processes using Snowflake and modern data transformation tools (Coalesce.io / dbt). This position requires a high level of autonomy, ownership, and proactive mindset , working closely with business stakeholders to translate requirements into robust data solutions. 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. Key Responsibilities * Design, build, and optimize data pipelines and transformations * Translate business requirements into technical data models and pipelines. * Embed data quality rules and validation checks within pipelines and data models. * Provide technical guidance on Snowflake, Coalesce, and Fivetran usage and trade-offs. * Ensure data governance, lineage, and metadata management using tools like Alation. * Contribute to CI/CD processes , Azure devops, enabling automated deployments across environments, * Define and enforce data engineering standards (naming conventions, metadata, tagging, DQ frameworks). Required Technical Skills * Strong expertise in SQL (advanced level). * Hands-on experience with Snowflake. * Experience with data transformation tools : Coalesce.io or dbt (Data Build Tool
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