Data Engineer at Capco Singapore

Houston, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, OneLake, Lakehouse, Data Warehouses, Pipelines, Spark, Shortcuts, Data Modeling, Batch Ingestion, Streaming Ingestion, Azure, PySpark, SQL, CI/CD, Microsoft Purview, Power BI

Industry

Financial Services

Description

About the team: Capco is a fully independent, global management and technology consultancy. For nearly 20 years we have combined innovative thinking with deep industry knowledge to deliver business consulting, digital transformation and technology services to Finance and Energy markets. Our collaborative and efficient approach helps clients reduce costs and manage risk and regulatory change while increasing revenues. We are thinkers, innovators, and disruptors. We are small enough to care but large enough to matter About the Job: As a member of our Data Team, you will work across Capco’s different domains and solution offerings to help break down large problems, develop approaches and solutions using the Microsoft data ecosystem. As a Data Engineer, you will create analytics reporting and provide data-driven strategic insights, trends, and perspective to help drive transformation for our clients. What You’ll Get to Do: Translate business objectives into scalable data architectures leveraging Microsoft Fabric (OneLake, Lakehouses, Data Warehouses, Pipelines, Spark, Shortcuts) Define data models (star/snowflake, data vault) and patterns for batch and streaming ingestion. Establish governance, security, and cost-optimized design on Azure and Fabric Build robust ingestion and transformation pipelines using Fabric Data Pipelines, Dataflows Gen2, PySpark/SQL in Fabric Notebooks, and Azure Data Factory / Azure Synapse where applicable Develop reusable frameworks for data quality, schema management, and metadata-driven processing Implement CDC, SCD, and incremental processing in Lakehouse layers Curate conformed and semantic layers to power Power BI and downstream analytics Collaborate with analytics teams to optimize DAX, semantic models, and performance Support data science workloads with feature stores and performant query layers Set up CI/CD, orchestration, observability, and cost monitoring for Fabric assets and Azure components (e.g., Git integration, deployment pipelines) Enforce data governance with Microsoft Purview, security roles, and PII protection patterns Lead workshops, assess current-state maturity, and propose target-state roadmaps Estimate effort, manage deliverables, and communicate progress to client executives What You’ll Bring with You: 3–7+ years in data engineering with the Microsoft stack Hands-on experience with Microsoft Fabric components such as OneLake, Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, Spark Notebooks, Shortcuts, KQL (nice to have), and Power BI integration Strong proficiency in SQL (T-SQL), PySpark/Python, and data modeling for analytics. Ingestion & transformation patterns (CDC, SCD, incremental ETL/ELT) Performance tuning, partitioning strategies, and file formats Experience with Azure Data Lake Storage, Azure Synapse (or legacy SQL DW), Azure Data Factory, Azure Key Vault, Event Hub/IoT Hub (plus) CI/CD and DevOps practices: Git, deployment pipelines, environment strategies Excellent communication skills with client-facing experience in consulting or similar environments Prior management consulting experience preferred Why Capco? A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation. We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering. Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business. We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW. We offer highly competitive benefits, including medical, dental and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees Ready to get started? If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

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Responsibilities

The Data Engineer will translate business objectives into scalable data architectures using the Microsoft data ecosystem, focusing on components like Microsoft Fabric, and create analytics reporting to provide data-driven strategic insights for client transformation. Responsibilities include building robust ingestion and transformation pipelines, defining data models, establishing governance, and supporting data science workloads.