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Mayer Brown

Global law firm handling complex transactions

Engineer: Financial Services

Data Engineering +1Confirmed live in the last 24 hours
Full-timeChicago, IL, USA$98k - $129k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Finance, or another quantitative or technical field is required; an equivalent combination of directly related education and experience may be considered instead.
  • At least 3 years of professional experience as a Data Analyst, Financial Analyst, Engineer, or in a similar role is required.
  • Experience working with organizational data warehouses, including creating and managing the data within them, is required.
  • Experience developing relationships with business stakeholders to understand requirements and support adoption of new data and reporting solutions is required.
  • Proficiency in Microsoft Office products, including Visio, is required.
  • Experience with enterprise relational database technologies, including Microsoft SQL Server, is required.
  • Experience with enterprise data management, integration, and analytics technologies, including SQL Server Integration Services (SSIS), other ETL tools, SQL Server Reporting Services (SSRS), SQL Server Management Studio (SSMS), and Microsoft Power Platform, is required.
  • Strong written and verbal communication skills are required to communicate effectively and professionally with firm members at all levels and outside vendors.
  • Analytical and problem-solving skills are required to investigate complex systems, assess them, propose technical solutions, and explain solutions to non-technical audiences.
  • Organizational, time-management, priority-setting, and troubleshooting skills are required, particularly when responding to unanticipated business requirements.
  • The candidate must be able to work in a diverse team environment and support the demanding needs of the firm.
  • The candidate must be able to communicate with and influence people outside the direct reporting chain.
  • The candidate must be able to work under pressure and meet deadlines amid shifting priorities.
  • The candidate must be a self-starter with initiative.
  • Customer-service skills are required to anticipate needs and exercise independent judgment.
  • Attention to detail, organizational skills, and the ability to handle multiple projects are required.
  • The candidate must maintain confidentiality and exercise discretion.
  • The candidate must be willing to challenge the status quo and speak up tactfully.

Responsibilities

  • Build and maintain an understanding of the firm’s data landscape, including key systems and databases, how they are used, their data, data models, and integrations, with a focus on Finance and Accounting data.
  • Work with the Enterprise Data team to develop scalable, reliable data pipelines and ETL processes that acquire and feed systems with appropriate data, maintain data cleanliness and accuracy, join and relate data from disparate systems, prepare data for modeling, reporting, visualization, and analysis, and generate reporting outputs using Microsoft Power Platform and other tools.
  • Work with the Senior Engineer to design and implement data models for Finance and Accounting and related teams.
  • Design and build SQL queries, views, functions, and stored procedures.
  • Develop and implement Finance and Accounting and related dashboards in Power BI and other platforms.
  • Follow established data-modeling and information-governance standards.
  • Provide technical assistance and guidance to users inside and outside IT, helping them locate and access needed data and choosing between self-service and interactive solutions.
  • Collaborate with the Enterprise Data team to build an expertise community supporting development and delivery of the firm’s enterprise data strategy.
  • Design, build, and test data structures, pipelines, and reporting processes and systems sustainably, applying automation where appropriate.
  • Participate in vendor engagements and solution assessments with the team.
  • Build knowledge and expertise to support solutions and applications developed by the Global Financial Technology and Strategy team.
  • Participate, as required, in evaluating financial products and applications suitable for the firm’s business.
  • Write, develop, and review design, interface, user, functional, and technical documentation, including process maps.
  • Travel to other offices as needed.

Desired Qualifications

  • Training or certifications in data engineering, cloud data platforms, data science, or analytics, such as Fabric Data Engineer, Azure Solutions Architect, or Power BI.
  • Experience working with team members across multiple offices.
  • Experience with a law firm or other professional services firm.
  • Scripting experience using SQL, Python, R, Power Query M, or PowerShell.
  • Knowledge of law firm practice-management systems such as Aderant or Elite.

About the Company

Mayer Brown

Global law firm handling complex transactions

Mayer Brown is a global law firm that helps large companies and financial institutions with complex deals and disputes. It operates across four continents with about 200 lawyers in New York, London, and Hong Kong, the three largest financial centers. The firm handles high-stakes litigation and complex transactions across industries, with a focus on financial services. Its lawyers work in integrated, cross-border teams to provide clients with strategic advice and practical solutions, aiming to anticipate needs and deliver excellent outcomes. Mayer Brown differentiates itself through its global reach, the scale of its major centers, and a unified “one-firm” culture that brings together knowledge and experience from everywhere to support clients. The goal is to act as a trusted partner, delivering clear guidance and successful results on the world’s most challenging matters.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Frankfurt, Germany
Founded
2013

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