Senior Data Engineer (Snowflake)

Responsibilities

• Develop the architecture for the data pipelines and implement it using Python and Microsoft SQL Server Integration Services (SSIS)
• Collaborate with the data architect to create and maintain source to target mapping documentation
• Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives
• Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.)
• Contribute to agile ceremonies, size tasks and deliverables
• 5+ years of experience designing, developing, and managing data pipelines and infrastructure.
• 2+ years of hands-on experience with Snowflake (essential).
• 5+ years of experience with SQL and data platforms like Oracle or SQL Server.
• 2+ years of Python programming experience.
• Strong understanding of Extract, Transform, Load (ETL) processes.
• Some experience with Microsoft SSIS is preferred.
• Bachelor's Degree in a relevant field or equivalent experience.
• Great interpersonal and communication skills.
• Lead experience is a plus.
• 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.
• For any additional information related to the processing of your personal data, our Personal Information Processing Policy, and/or exercising of your right to the habeas data, you can contact us through the service channel provided by ENDAVA: protecciondatoscolombia@endava.com .
• 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 perspective

Benefits

Additional Information

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. As a Senior Data Engineer at Endava, you will be responsible for developing and implementing data pipelines, collaborating with data architects, and ensuring data quality and integrity. You will also support data migration projects and contribute to agile development processes.

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