Manager - Data Engineering

Accountabilities:

• Lead the design, development, and optimization of scalable data warehouses, ETL/ELT pipelines, and analytics infrastructure

• Translate complex and ambiguous business needs into structured, data-driven solutions that support decision-making

• Build and maintain automated reporting systems and workflows ensuring accuracy, consistency, and timeliness of data outputs

• Develop dashboards and visualization tools to support financial, operational, and executive reporting needs

• Partner with cross-functional stakeholders across finance, accounting, and operations to define data requirements and deliver solutions

• Implement and enforce best practices in data governance, architecture, and data quality management

• Support system integrations, data migrations, and modernization efforts during acquisitions or platform transitions

• Manage technical initiatives such as API integrations, master data restructuring, and process automation projects

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related quantitative field

• 5+ years of experience in data engineering, analytics engineering, or similar technical roles

• Strong SQL expertise and proven experience designing and maintaining ETL/ELT pipelines

• Hands-on experience with cloud data platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse

• Experience with BI and visualization tools such as Power BI, Tableau, or Looker

• Proficiency in Python or another scripting language is a strong plus

• Experience working with financial, accounting, or operational datasets is highly preferred

• Strong communication skills with the ability to translate technical concepts into business value

• Ability to work directly with stakeholders in a consulting or multi-client environment

Benefits:

• Competitive compensation aligned with experience and impact

• Opportunity to work on high-impact, portfolio-wide data transformation projects

• Exposure to modern cloud data platforms and advanced analytics technologies

• Collaborative environment working closely with finance and analytics experts

• Career growth opportunities in data engineering and data strategy leadership

• Flexible work arrangements depending on project and client needs

• Opportunity to contribute to automation, modernization, and enterprise reporting initiatives

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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