Data Engineer

About Us:

Wolters Kluwer is a global leader in professional information services. Professionals in the areas of legal, business, tax, accounting, finance, audit, risk, compliance, and healthcare rely on Wolters Kluwer's market leading information-enabled tools and software solutions to manage their business efficiently, deliver results to their clients, and succeed in an ever more dynamic world. Wolters Kluwer combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve the way we do business, build better judicial and regulatory systems. We help them get it right.

The Global Finance Shared Service (FSS) is a new organization that is part of the finance function; bringing finance and accounting experts together so they can share their expertise and collaborate to standardize and enhance processes and tools. Included in this organization is the Finance Center of Excellence (CoE) in Pune, India which is a unified team comprised of Finance Professionals and Data Scientists driving centralized Financial and Analytical support across all of the Wolters Kluwer global divisions. The diverse capabilities of the team are focused on Finance Reporting Harmonization (Data Governance), Technology Enablement (Simplify, Standardize, Automate), Reporting and Analytic Enhancements (BI Dashboards).  The Finance CoE has established skill-based training programs (Knowledge sharing forums) encouraging continuous learning while fostering strong engagement and belonging. 

The role
• In this role, you will be part of the Wolters Kluwer Financial Shared Services (FSS) organization, supporting the Wolters Kluwer Legal Regulatory Division partnering closely with key finance and business stakeholders in Europe
• You will be responsible for developing and maintaining data pipelines, as well as delivering data analytics and insights that drive informed decision-making. Your work will play a key role in enhancing operational efficiency across the organization.
• Primary tools used will be Snowflake and Informatica.

Key Responsibilities

Data engineering
• Assembling large, complex sets of data that meet business requirements
• Identifying, designing, and implementing internal process improvements
• Building infrastructure for optimal extraction, transformation, and loading (ETL) of data from various data sources.
• Developing analytical tools to utilize the data pipeline for actionable insights
• Collaborating with stakeholders to support their data infrastructure needs
• Managing and integrating data using Snowflake and Informatica
• Maintaining existing ETL-jobs

Stakeholder Management
• Foster positive and professional relationships with all stakeholders in the workplace for effective collaboration and communication

Continuous learning:
• Learn latest tools and technologies available for data analytics
• Suggest more efficient ways of processing reports

Key Skills And Experience Required
• Required: Bachelor’s degree in data science/analytics, finance, accounting, or economics or Engineering in Computer Science, or related quantitative field
• Required – Proficiency in Informatica ETL software and Snowflake dataplatform
• Required – Proficiency in SQL
• Knowledge of data structures, data transformations and operations
• Strong analytical and communication skills
• English-speaking
• Experience with cloud platforms such as Azure or AWS will be plus

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Read more