Manpower Group
Data Engineer (Finance)
Build your career with ManpowerGroup! Through regular, honest and meaningful career conversations, and other tools designed to guide self-discovery.
Working with our exceptional clients! From global tech giants to transformational start-ups, our team gets to help some of the world's most impactful, innovative, and recognizable organizations.
Getting the rewards you deserve. Our compensation includes a culture that recognizes and celebrates the contribution of our colleagues in meaningful ways that support their well-being and lifestyle, including:
o Competitive base salary plus bonus
o Comprehensive benefits include Medical, Dental, Life, Vision and Disability insurance
o 401K with a Company match
o 20 days paid time off
o Gym membership discounts
o Pet insurance
Being part of an inspiring culture:
We value and encourage the broad range of perspectives and capabilities our employee diversity brings to our organization and to our stakeholders. Fostering an inclusive culture is about more than just policies-it's about making sure that we create an environment where talent from all backgrounds can thrive and feel comfortable so they can advance their careers and our business.
o Our five Business Resource Groups are just one way our employees can continue to build our culture of diversity, equity, inclusion, and belonging.
o We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the thirteenth year - all confirming our position as the brand of choice for in-demand talent.
The Data Engineer role is to design and implement data models that maintain data integrity by staying informed of the ways the data is used within the organization and its information systems. The Data Engineer must be highly experienced in the analytics environment, so that they possess a strong foundation to be able to understand as well as create models that meet business requirements.
Making an Impact
• Working with business leaders, business analysts and web architects to define a strategy to implement long-term vision for the Production system application data and a strategy to implement that vision
• Defining, documenting, and enforcing the use of standards, policies and procedures for use by the team, including naming conventions, estimating guidelines, review and promotion procedures, security and user/role access, etc.
• Understanding of a phased project approach and the ability to identify the tasks, timelines, and interdependencies with other team's tasks to complete the project on-time and in budget
• Creating and maintaining the conceptual (logical) and physical data models
• Facilitating meetings and communications
o with the business to define business requirements, to gain consensus/approval, and to communicate status
o within the project team to ensure a common understanding, drive decisions, and promote cohesion
o with other Data & Analytics functional teams to foster a collaborative work environment and drive issues to resolution
• Leverage Production Database expertise to produce analytics platform data structures to be consumed in Data modelling, Dashboards, Analytics & stakeholder needs
• Workflow design to create scalable data solutions in a automated / scheduled manner
• Monitor Live Data transformation workflows to ensure content availability
Sharing Expertise
• Participating in Production system development review sessions
• Influencing through functional knowledge/solution options. Leads workflow, influences team & customers to ensure they're aligned on timing and approach
• Responsible for recommending ways to continually improve own workflow, the department workflow, and delivery of solutions for the customers of the functional area. Responsible for bringing issues to management and presenting options for solutions.
• Acts as an escalation point to resolving problems and conflicts where necessary, ensuring alternate points of view are taken into account and problems are brought to management where necessary with pros and cons of the various options identified, as well as a recommendation where feasible.
Gaining Exposure
• Partnering with leaders across NA to understand their unique and shared areas of focus from a D&A perspective
• Sharing D&A perspective on how to solve or approach gaps that aren't yet identified by leaders, identify alternatives and provide recommendations to address proactively
Your Typical Day
• Defining and documenting overall data architecture, infrastructure, and performance requirements and working with the DBA to implement it
Qualifications:
Required
• Bachelor's degree
• 2+ years working in an analytics or IT environment or specialized Bachelor's degree in data modeling or similar focus - Familiarity with Informatica
Nice to Have
• Experience with conceptual data modeling methodologies, and the development of architectures supporting web-based applications
ManpowerGroup is proud to be an equal opportunity affirmative action workplace. We celebrate diversity and are committed to providing an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, citizenship, marital status, pregnancy (including childbirth, lactation and related medical conditions), age, gender, gender identity or expression, sexual orientation, protected veteran status, political ideology, ancestry, the presence of any physical, sensory, or mental disabilities, or other legally protected status.
A strong commitment is made by each employee and is necessary to ensure equal employment opportunity for all. ManpowerGroup is an inclusive workplace that will recruit, hire, train, and promote persons of all job titles, and ensure all other personnel actions are administered without regard to non-merit-based characteristics of individuals.
Reasonable accommodation during the interview process can be provided. Contact talentacquisition@manpowergroup.com for assistance.