Job Description

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Lab49 - Software Engineering /
Full-time /
On-site
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Lab49 is an award-winning specialist consultancy that creates bespoke technology in partnership with the most important companies in finance. We were founded in 2002 to bring Silicon Valley solutions to Wall Street's door. Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud and data science.

Today, we are an established partner in financial markets, having delivered hundreds of projects for clients including all the world's tier-one investment banks and many of the largest buy-side firms globally.

Being part of Lab49 means bringing your drive and creativity into an environment where your contributions will make immediate impact. Engineers will work in cross functional teams, consulting directly with our clients, shaping not only technical solutions to business problems but delivering them into production.

Job Summary:

Working with leading global financial institutions as part of our application development and analytics teams, you will design, build and optimize Microsoft Power Platform solutions to enhance reporting, streamline workflows, and support business operations.

"Full-time employee, On-Site. 5 days per week in the office OR on the client side possible during integration, testing or release activities."

Key Responsibilities:

+ Build robust, scalable, and high-performance Power BI solutions, including data models, interactive reports, and custom dashboards. + Retrieve, transform, and prepare complex data sets using SQL, Power Query (M), and other ETL tools.
+ Optimize data models and reports for speed, efficiency, and usability.
+ Leverage DAX and advanced data visualization techniques to deliver insights and drive data-driven decision-making
+ Partner closely with cross-functional teams, including data engineering, business analysts, and stakeholders, to gather requirements and deliver high-quality solutions.

Required Experience and Skills:

+ Bachelor's degree in Computer Science, Information Technology, or a related field + Extensive software engineering experience, including 5+ years developing Power BI solutions and 3+ years of experience with the other components of the MS Power Platform
+ Strong knowledge of DAX, Power Query (M), and SQL for data modelling and transformation.
+ Strong understanding of data modelling and data visualization concepts
+ Experience with building Canvas Apps and Power Automate flows
+ Hands-on experience with Postgres and/or Oracle
+ Excellent communication and interpersonal skills for collaborating with team members and stakeholder

Preferable / Nice to have Experience and Skills:

+ Master's degree is preferred. + Microsoft PL-200, PL-300, PL-400 exams and associated certifications
+ Proficiency in at least one modern programming language such as .Net, Python, JavaScript, SQL, etc.
+ Experience with Financial Services, incl. Banking, Payments, Capital Markets

Why Lab49?

Lab49 is an established partner for most financial institutions on Wall Street. You will gain exposure into a variety of environments, business domains, technologies, and people. Your ability to bring drive and creativity to the role will be the key component to success at Lab49. The broad and intense exposure to a variety of challenges accelerates your career growth, and Lab49's structure is designed to enable you to learn and grow as an engineer and consultant.

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.