Data Consultant

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.

Requirements

• 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 fast-paced, high-impact financial environment
• 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
• Discover some of the global benefits that empower our people to become the best version of themselves:
• 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: 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.
• Keep in mind that once you decide to participate in ENDAVA COLOMBIA's recruitment processes, the physical delivery or sending via e-mail your resume implies the express acceptance, through conclusive behavior, of authorizing ENDAVA to process your data with the purpose to participate in the r

Benefits

Additional Information

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.

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