A senior data engineer supports data ingestion for rapid prototyping and experimentation in
data analytics projects. The role will support both a traditional business intelligence function as
well as advanced analytics like machine learning and predictive modelling.
A senior data engineer takes on architectural and performance optimization tasks, lead
projects of system caliber integrations.
Considered an expert “go-to” person.
Serves as coach and mentor to staff.
Demonstrates expert level of competency in trouble shooting and problem solving together
with expert customer and vendor / partner interface skills.
Leads advanced group and enterprise level technology planning.
Oversee and Build processes that efficiently ingest data from multiple sources and
intelligently handle the scale and complexities of real-world data.
- Implement processes and systems to supervise data quality, ensuring production
data is always accurate and available for the teams that depend on it.
Gather requirements from the rest of the data team and other internal stakeholders toidentify opportunities for improvements, set priorities, and execute.
Work with other teams in IT to ensure that data handling complies with all externalregulations and internal standards.
Assist in the governance of our shared BI platform and assist citizen developers intheir BI projects.
Build data models that scale up efficiently and are integrated with Azure DevOps andDBT Cloud.
Build and maintain Security interfaces within Snowflake.Ensure cost control and perform performance optimization in Snowflake.Work with stakeholders and architecture team to ensure the data applicationsdeveloped are the single source of truth of their respective functional reporting area.
Responsible of the architectural layout in Snowflake and Azure Data Factory.Ensure effective on-boarding of partners, using Azure DevOps and DBT.Issue development guidelines, standards and assure implementation.Respect and propose metrics for Snowflake environment’s health.5+ years as a data engineer, or a role with similar skillsets
Proven experience with Snowflake, certification desiredExperience with Azure cloud platform, specifically Azure Data FactoryExperience with SQL and Microsoft SQL ServerExperience with BI tools like Power BI or QlikBachelor’s degree in computer science, Information Systems or related technicaldegree
Fluent in English, written and verbalSelf-Manages : Demonstrated ability to work autonomously towards a goalInterpersonal SkillsCommunication and collaborationKnowledge of common data regulations like GDPRExperience in the manufacturing industryAbility to communicate technical content in business termsExperience with PythonData Architecture experience or knowledge of best standards and techniques