SEI is seeking a Senior Analytics Engineer responsible for designing, developing, and optimizing scalable data pipelines and delivering high-quality business insights through Power BI dashboards. This role bridges data engineering and business intelligence, requiring strong expertise in Python, SQL, and modern data platforms along with hands-on experience in data modeling, visualization, and performance optimization in Power BI. You will own the data lifecycle from ingestion to visualization (pipeline → semantic model → dashboard).
What you will do:
- Design and build scalable data pipelines using Python and SQL across Oracle, SQL Server, PostgreSQL, and OCI environments.
- Develop and optimize ETL/ELT workflows using orchestration tools such as Airflow or OCI Data Integration.
- Build and maintain Power BI dashboards, semantic models, and datasets using DAX, Power Query, and data modeling best practices.
- Collaborate with stakeholders to translate business requirements into data models, KPIs, and visualizations.
- Implement CI/CD pipelines using GitLab and automate deployments using Docker and Kubernetes.
- Ensure data quality, governance, and security (RLS, access control, auditing, compliance).
- Optimize performance across pipelines and dashboards, including query tuning and refresh strategies.
- Monitor pipeline health and automate operational processes using Python scripting and Unix tools.
- Support cloud and on-prem data environments, including migrations and scaling strategies.
What we need from you:
- 8+ years of experience in data engineering, analytics engineering, or BI development.
- Strong hands-on experience with Python and SQL for building data pipelines.
- Strong experience with Power BI (data modeling, DAX, performance tuning, RLS).
- Experience with databases: Oracle, SQL Server, PostgreSQL.
- Experience with ETL/ELT tools and orchestration frameworks (Airflow preferred).
- Experience with DevOps tools: GitLab, Docker, Kubernetes.
- Knowledge of data warehousing concepts (star schema, dimensional modeling).
- Experience with cloud platforms (OCI preferred, AWS/Azure is a plus).
- Strong understanding of data governance, security, and compliance.
Additional knowledge and/or experience desired:
- Experience with Infrastructure as Code (Terraform, Ansible).
- Experience with real-time/streaming pipelines (Kafka).
- Knowledge of financial/wealth management domain.
- Relevant certifications (OCI, Azure, Power BI, Data Engineering).
SEI’s competitive advantage
To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, hybrid working environment and a work-life balance that enables you to relax, recharge and be there for the people you care about.
Our benefits include Medical Insurance, Term Life Insurance, Voluntary Provident Fund, 10 Predefined Holidays and 2 Floating Holidays in a year, Paid Time off and more.
We are a technology and asset management company delivering on our promise of building brave futures—for our clients, our communities, and ourselves. Come build your brave future at SEI.
SEI is an Equal Opportunity Employer and so much more…
After 50 years in business, SEI is a leading global provider of investment processing, investment management, and investment operations solutions. Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we’re (literally) invested in your success. We offer our employees paid parental leave, paid volunteer days, professional development assistance and access to thriving employee networks.
AI Acceptable Use in the application and interview process:
SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines.
Skills Required
- 8+ years of experience in data engineering, analytics engineering, or BI development.
- Hands-on experience with Python for building data pipelines and automation.
- Strong SQL expertise for querying and query tuning across multiple databases.
- Power BI experience including data modeling, DAX, Power Query, performance tuning, and RLS.
- Experience with Oracle, SQL Server, and PostgreSQL databases.
- Experience with ETL/ELT tools and orchestration frameworks.
- Experience with Airflow.
- Experience with DevOps tools: GitLab, Docker, Kubernetes.
- Knowledge of data warehousing concepts (star schema, dimensional modeling).
- Experience with cloud platforms (OCI preferred; AWS/Azure a plus).
- Strong understanding of data governance, security, access control, auditing, and compliance.
- Experience using Unix tools for scripting and pipeline monitoring.
- Experience with Infrastructure as Code (Terraform, Ansible).
- Experience with real-time/streaming pipelines (Kafka).
- Knowledge of financial/wealth management domain.
- Relevant certifications (OCI, Azure, Power BI, Data Engineering).
SEI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SEI and has not been reviewed or approved by SEI.
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Healthcare Strength — Comprehensive medical coverage, FSAs, disability and life insurance, and wellness incentives are part of the package. Recognition for workplace mental health and on‑site wellness options further bolster perceived healthcare depth.
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Leave & Time Off Breadth — PTO is characterized as generous, with indications of ample time away and flexibility. Specific accruals and usage vary by team, so confirming details in offers is encouraged.
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Retirement Support — A 401(k) plan, an employee stock purchase plan, and an employee investment program are available, with plan features including early eligibility and automatic enrollment. Recent plan terms have included a safe‑harbor employer match with immediate vesting.
SEI Insights
What We Do
SEI® (NASDAQ:SEIC) delivers technology and investment solutions that connect the financial services industry. With capabilities across investment processing, operations, and asset management, SEI works with corporations, financial institutions and professionals, and ultra-high-net-worth families to solve problems, manage change and help protect assets—for growth today and in the future. As of June 30, 2021, SEI manages, advises or administers approximately $1.3 trillion in assets. For more information, visit seic.com.
