SHINKA LABS
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Own your career!
Join an ambitious team changing the world with Ai and analytics.
Own your career!
Join an ambitious team changing the world with Ai and analytics.
Our focus on hiring the best and creating a high density of talent not only allows us to deliver on the high quality standards expected by our clients - but also brings our the best in our team through explosive growth.
Join our growing Singapore team!
Join our growing Singapore team!
we are building a world class team to deliver next-gen Impact and Automation platforms for our clients.
Lead BI Developer (Power BI)
Lead BI Developer (Power BI)
Singapore Hybird
Power BI DAX Databricks SQL StreamLit
This is a foundational BI engineering role — the first Power BI hire within a growing analytics organization.
We’re looking for a developer who can build, own, and elevate the entire BI stack, from curated SQL datasets to semantic models and enterprise-grade dashboards, while establishing best practices for governance, security, and performance across the business.
You’ll be part of our Forward-Deployed Engineering Team, embedded full-time with one of our key clients on a long-term engagement, working alongside product owners, data engineers, data scientists, and business stakeholders to deliver analytics solutions that drive measurable value.
Key Responsibilities
Collaborate within Agile product squads to define, prioritize, and iteratively deliver BI features that create business impact.
Design, build, and optimize Power BI datasets, reports, and dashboards, applying advanced DAX and Power Query (M) techniques.
Develop and maintain robust semantic models that accurately represent business logic and enable governed self-service analytics.
Implement and manage Power BI Admin tasks: tenant and workspace management, capacity settings, deployment pipelines, refresh scheduling, and monitoring.
Design and enforce data-security frameworks, including Row-Level Security (RLS), role definitions, and Azure AD / access-group management.
Build and refine SQL-based curated datasets / views forming the gold / semantic layer for BI consumption.
Partner with product owners and stakeholders to translate business requirements into BI stories and deliverables.
Provide advisory guidance on modeling, governance, and adoption; mentor junior BI developers where applicable.
(Bonus) Work with Databricks, Synapse, Athena, BigQuery, or similar modern cloud data platforms.
Qualifications & Skills
8+ years of professional BI/analytics experience, with a primary focus on Power BI development and administration.
Demonstrated expertise in:
Power BI Desktop / Service – data modeling, relationships, calculations, performance optimization.
DAX and Power Query (M) – advanced calculations, transformations, query folding.
Semantic modeling – star schema, dimensional design, calculation groups, reusable datasets.
SQL – dataset creation, joins, views, and performance tuning.
Power BI Admin & Governance – tenant/workspace management, capacity configuration, deployment pipelines.
Security design – RLS, role-based access, AD group integration.
Experience operating within Agile delivery teams and cross-functional product environments.
Excellent communication and stakeholder-engagement skills with the ability to bridge business and technical discussions.
(Nice to have) Familiarity with Tableau, Python, or lightweight app frameworks such as Streamlit.
What We Offer
Long-term embedded client engagements where you get to know the business and really drive an impact.
Working in an Agile, product-driven team with a collaborative culture that values expertise, autonomy, and impact.
The opportunity to own BI delivery end-to-end: from semantic datasets (SQL) to dashboards and user adoption (Power BI).
Exposure to modern cloud-native data platforms and enterprise-scale analytics programs.
Senior BI Developer (Power BI)
Senior BI Developer (Power BI)
Singapore Hybird
Power BI DAX Databricks SQL StreamLit
We are seeking 2 Senior Business Intelligence (BI) and Analytics Developers to join our Embedded Analytics & Engineering team, as we expand into the Singaporean market.
In this role, you will be embedded full-time with one of our key clients on a long-term engagement, working as part of an Agile product team alongside product owners, data engineers, data scientists, and business stakeholders.
You will own the end-to-end delivery of BI solutions on the vizualization side - from shaping curated datasets in the gold/semantic layer with SQL, through to designing and deploying Power BI semantic models, reports, and dashboards, and guiding business users on best practices for adoption.
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Key Responsibilities
Collaborate within Agile product teams to define, prioritize, and iteratively deliver BI features that create measurable business value.
Design, develop, and optimize Power BI dashboards, reports, and semantic data models (DAX, Power Query).
Build and refine SQL-based curated datasets/views that form the gold/semantic layer for analytics and reporting.
Partner with stakeholders and product owners to translate business requirements into BI deliverables and stories.
Provide advisory and best-practice guidance on Power BI usage, data modeling, and dashboard adoption.
Troubleshoot issues with data refresh, performance, and usability across the BI and semantic layer.
Mentor junior BI developers and analysts, ensuring quality and consistency.
Qualifications & Skills
Bachelor’s degree in a STEM field, Computer Science, Information Systems, Data Analytics, or related field.
5~8 years of professional experience in BI/analytics, with a strong emphasis on Power BI.
Expert-level proficiency in DAX, Power Query (M), and semantic data modeling.
Understanding of data modeling (star schema, dimensional modeling) and performance optimization.
Solid SQL skills (any modern data warehouse or query engine).
Familiarity with Agile delivery frameworks and cross-functional product squads.
Excellent communication skills, with the ability to bridge technical and business discussions in a client-facing environment.
Nice to have — Experience with Databricks, Synapse, Athena, BigQuery, or similar cloud platforms. Familiarity with Databricks BI, Tableau, Streamlit or similar BI platforms.
What We Offer
Long-term embedded client engagements where you get to know the business and really drive an impact.
Working in an Agile, product-driven team with a collaborative culture that values expertise, autonomy, and impact.
The opportunity to own BI delivery end-to-end: from semantic datasets (SQL) to dashboards and user adoption (Power BI).
Exposure to modern cloud-native data platforms and enterprise-scale analytics programs.
Senior Software Engineer (Full-stack)
Senior Software Engineer (Full-stack)
Singapore Hybird
Azure DatabricksApps StreamLit React Angular Node.js
We are seeking a Senior Application Developer (Full-stack) to join our Forward Deployed Engineering team. In this role, you will be embedded full-time with one of our key clients on a long-term engagement, working in an Agile product team alongside product owners, data engineers, data scientists, and business stakeholders.
You will be responsible for the end-to-end design and delivery of full-stack applications — from frontend experiences to backend services and deployment on cloud infrastructure.
This role is hands-on and client-facing, combining modern web frameworks, cloud-native services, and data-driven apps to deliver solutions that create measurable business value.
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Key Responsibilities
Collaborate within Agile squads to design, prioritize, and iteratively deliver application features.
Build and maintain full-stack applications using React/Angular (frontend), FastAPI/Streamlit (backend and UI), and Postgres (database).
Develop, deploy, and manage cloud-native services on Azure, including containers and serverless functions.
Integrate applications with Databricks Apps for data and analytics workflows.
Translate business requirements into robust, scalable technical solutions.
Ensure applications meet standards for performance, security, maintainability, and governance.
Provide technical leadership, mentorship, and best practice guidance for junior developers and peers.
Troubleshoot and resolve issues across the frontend, backend, and infrastructure stack.
Nice to have - Experiment with lightweight frameworks such as Flask, Dask, Gradio, or Svelte to extend capabilities.
Qualifications & Skills
Bachelor’s degree in Computer Science, Software Engineering, or related field.
5–8 years of professional experience in application development, with proven full-stack delivery.
Strong proficiency with at least one modern frontend framework (React or Angular).
Proficiency in Python-based backend frameworks (FastAPI required; Streamlit strongly preferred).
Solid experience with Postgres or other relational databases (schema design, queries, optimization).
Hands-on experience with Azure cloud services, especially containers (AKS, ACI) and serverless functions.
Familiarity with Agile delivery practices and working in cross-functional product squads.
Excellent problem-solving, communication, and stakeholder engagement skills.
Nice to have - Experience with Flask, Dask, Gradio, or Svelte.
What We Offer
Long-term embedded client engagements where you get to know the business and really drive an impact.
The opportunity to own full-stack solution delivery end-to-end, from frontend UI through backend APIs to cloud deployment.
Exposure to modern cloud platforms (Azure, Databricks) and integration with enterprise-scale data systems.
A collaborative culture that values expertise, autonomy, and impact.
Senior Data Engineer
Senior Data Engineer
Singapore Hybird
Azure Databricks dbt Lakebase SQL Python
We are seeking a Senior Data Engineer to join our Forward-Deployed Engineering Team, working full-time with one of our key clients on a long-term Agile engagement.
As a Senior Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, transformations, and curated datasets that power analytics, BI, and machine learning use cases.
You will work closely with product owners, data scientists, BI developers, and business stakeholders to deliver scalable, reliable, and production-grade data solutions.
This is a hands-on, engineering-first role — perfect for someone who thrives on solving complex data problems, optimizing performance, and enabling the broader analytics ecosystem to move faster with confidence.
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Key Responsibilities
Collaborate with product owners and cross-functional teams to design and implement end-to-end data pipelines supporting analytical and operational workloads.
Develop and optimize ETL/ELT processes using Databricks (PySpark, SQL, Delta Live Tables) or similar platforms.
Build and maintain curated datasets (Silver / Gold layers) optimized for analytics, BI, and downstream use.
Engineer scalable, reusable data models and schemas aligned with business logic and performance needs.
Ensure data pipelines are robust, observable, and well-documented, leveraging modern DevOps and CI/CD practices.
Implement data quality monitoring, validation, and alerting frameworks.
Partner with BI and Data Science teams to enable efficient consumption of data through APIs, views, or shared layers.
Optimize data storage, partitioning, and compute costs in cloud environments.
(Bonus) Contribute to data infrastructure tooling and automation, including metadata management, lineage, or testing frameworks.
Qualifications & Skills
Bachelor’s degree in Computer Science, Data Engineering, or a related field.
5–8 years of professional experience in data engineering, preferably in cloud-native environments.
Strong proficiency in SQL (analytical queries, optimization, CTEs, views, and data modeling).
Hands-on experience with Databricks, Spark, or similar distributed data platforms (e.g., Synapse, BigQuery, Snowflake, Athena).
Strong Python development skills for ETL/ELT, data transformation, and automation.
Proficiency with Azure cloud services (Data Lake, Functions, Containers, DevOps Pipelines).
Solid understanding of data modeling principles (Kimball, dimensional, data vault).
Experience implementing CI/CD, Git-based workflows, and Infrastructure as Code (Terraform, ARM templates).
Familiarity with monitoring and observability tools for data pipelines.
Excellent problem-solving, communication, and stakeholder collaboration skills.
What We Offer
Long-term, embedded client engagements in Agile, product-driven teams.
The opportunity to own the full lifecycle of data engineering delivery — from ingestion to production.
Exposure to modern data stacks and cloud-native engineering.
A collaborative, engineering-led culture that values craft, autonomy, and impact.
If you have any questions please reach out to us at transformation@shinka-labs.com
We are always happy to discuss how we can help you get to where you want to go.
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