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 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)
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
Required Soft Skills
Strong autonomy and self‐management (critical for success in this role)
High level of initiative and proactivity
Excellent analytical and problem‐solving skills
Ability to translate business needs into technical solutions
Strong communication skills for stakeholder interaction
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)
Key Success Factors
Ability to own and deliver data engineering solutions autonomously
Strong business understanding and requirement translation capability
Commitment to data quality, governance, and scalability
Experience working in a fast‐paced, high‐impact financial environment
Additional Technical Skills
Programming Languages: Python, Scala, SQL
Big Data Frameworks: Apache Spark, Databricks (including Delta Lake and Delta Tables)
Cloud Platforms & Services: Microsoft Azure (Azure Data Factory, Azure Event Hub, Azure Functions)
Data Engineering: Data pipelines, ETL/ELT design, batch and streaming data processing




Data Storage & Management: Delta Tables, Azure Data Lake, Azure Blob Storage
Orchestration & Integration: Azure Data Factory (ADF), Azure Functions, event‐driven architecture
Workflow & Automation Tools: CI/CD pipelines, version control (Git), DevOps practices
Data Modeling & Warehousing: Dimensional modeling, data lakes, lakehouse architectures
Monitoring & Optimization: Performance tuning in Spark, job monitoring with Azure tools
Collaboration Tools: Jira, Confluence, Agile/Scrum methodologies
Benefits
Finance: Competitive salary package, share plan, 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: Integral 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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📌 Data Consultant (Antioquia)
🏢 Endava
📍 Antioquia