Senior BI Engineer

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500 , and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a Senior Data & BI Engineer to design and deliver enterprise analytics applications, combining data acquisition/engineering, analytics modeling, and Power BI dashboarding to produce trusted, scalable, and secure business insights. This role partners closely with business line SMEs to architect solutions aligned to strategic priorities, and drives disciplined delivery through Agile sprints, CI/CD, and DevOps practices.

• Self-starter with strong ownership mindset and ability to execute in ambiguous environments.
• Passion for data visualization and a track record of turning complex data into intuitive business insights.
• Strong stakeholder communication skills—able to explain technical decisions, tradeoffs, and outcomes to business and technology leaders.

Responsibilities

• Partner with business line SMEs to define analytical needs, translate requirements into scalable BI solutions, and ensure alignment with business priorities.
• Own end-to-end analytics solution design including KPI definitions, semantic models, and dashboard experiences that support decision-making across business units.
• Deliver clear, timely updates to stakeholders, communicating progress, insights, tradeoffs, and outcomes.
• Design and implement data acquisition strategies using the appropriate toolsets (e.g., batch ETL/ELT, streaming, CDC patterns), enabling reliable and performant analytics consumption.
• Build and maintain robust pipelines for ingestion, transformation, and modeling to support large datasets and analytical workloads.
• Design and deliver complex, interactive Power BI dashboards and semantic models that support both executive storytelling and operational drill-down.
• Build reusable measures, standardized KPIs, and performant data models using DAX and Power Query (M), optimized for large datasets.
• Develop dashboards that query large/high‑volume sources while meeting performance and usability expectations in an enterprise environment.
• Create or maintain dashboards in Tableau where required, while Power BI remains the primary platform. (Nice-to-have)

Engineer Qualifications

• Preferrable 7-10 years of professional experience in software development, with a strong emphasis on data modelling and building analytics applications.
• Proven experience building complex interactive Power BI dashboards and enterprise semantic models.
• Strong hands-on experience with:
• SQL (querying, tuning, modeling) across platforms such as MS SQL Server / PostgreSQL / Redshift
• High transaction volume relational database environments (especially SQL Server)
• Data modeling (star/snowflake), data warehousing concepts, and pipeline-driven analytics
• Experience building dashboards and data models that operate effectively on large datasets.
• Hands-on experience with ETL/processing tools such as Informatica, SSIS, and/or Spark / streaming patterns.
• Hands-on experience with the Power Platform (e.g., Power Automate / Dataflows / Fabric capabilities as applicable) to create more complete end-to-end pipelines from ingestion through analytics consumption.
• Experience with cloud data/analytics platforms including building analytics-ready datasets and scaling BI workloads.
• Python experience for statistics, data analysis, and ML & AI enablement is desirable.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.