Senior BI Developer

SUMMARY:
Role:
Our client is seeking a full-time Senior BI Developer with strong business intelligence and data engineering expertise to join the company dynamic and growing Data Science team.
 
Key Responsibilities:
As part of the company Data Science team, you will report directly to the Head: Data Science.
 
As a Senior BI Developer, you will be responsible for designing, developing, and maintaining the end-to-end BI lifecycle — from data flows and models, to cubes, reports, and templates — across both client-facing and internal initiatives.
 
The ideal candidate will bring not only technical proficiency in BI, SQL, and Power BI, but also the senior-level expertise to drive innovation, define best practices, and establish BI architectural patterns that scale. You will collaborate closely with clients, Data Engineering, and other internal stakeholders to deliver high-quality BI solutions that unlock value from data collaborations on the company platform.
 
Key Responsibilities

• End-to-End BI Development: Design and implement BI solutions across the full lifecycle: data ingestion flows (via Synapse pipelines and stored procedures), semantic models, OLAP cubes, and Power BI dashboards and templates.
• Architecture & Standards: Define and enforce BI architectural patterns, governance practices, and reusable frameworks to ensure scalable, maintainable, and high-performing BI solutions.
• Client Engagement: Collaborate directly with clients and account managers to understand business needs, translate requirements into BI deliverables, and deliver insights through dashboards and reporting.
• Innovation & Best Practices: Stay at the forefront of modern BI approaches (e.g., lakehouse, Spark, Delta Lake, Azure Fabric) and bring new ideas to evolve the company BI practice.
• Cross-Team Collaboration: Work with the Data Engineering team on pipeline requirements and design, ensuring BI models are optimized for analytics.
• Internal BI Support: Support the company leadership and internal teams with BI dashboards, reporting frameworks, and ad-hoc analysis that drive operational efficiency and decision-making.
• Performance Optimization: Tune queries, models, and reports to handle large- scale datasets efficiently within Synapse and Power BI.
• Mentorship: Provide guidance and knowledge-sharing to junior team members and contribute to upskilling the broader Data Science and BI function.

• Education /Degrees: Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred.

• 7+ years of experience in BI development, including end-to-end ownership of BI lifecycles, with a proven track record of leading BI innovation and best practices.

• Strong proficiency in Power BI (including DAX, data modelling, report development, templates, and deployment).
• Experience and proficiency in multiple other BI tools (e.g., Tableau, Qlik, Looker, etc.), demonstrating versatility across BI ecosystems.
• Advanced SQL skills with proven experience in Azure Synapse Analytics (dedicated/serverless SQL pools, stored procedures, performance tuning).
• Experience with OLAP cubes, semantic models, and data warehousing concepts.
• Familiarity with ETL/ELT processes (preferably using Synapse Pipelines) and working closely with Data Engineering.
• Understanding of data lakehouse concepts and modern BI integrations with Spark/Delta Lake.
• Proven ability to design BI architectural patterns and enforce governance best practices.
• Experience working with large datasets, retail data, or marketing analytics is highly advantageous.
• Familiarity with software development best practices in BI/analytics environments, including modular development, version control (Git), automated testing, and CI/CD pipelines.

• Microsoft Certified: Power BI Data Analyst Associate (DA-100 / PL-300)
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Exposure to Azure Fabric, Databricks, or similar lakehouse technologies.

• Strong problem-solving ability with a focus on technical delivery excellence.
• Ability to translate business requirements into BI solutions with clear, actionable insights.
• Confident engaging with clients and stakeholders at a senior level while keeping technical focus.
• Effective communication skills to bridge technical and non-technical audiences.
• A collaborative mindset, able to work cross-functionally with Data Engineering, Data Science, and Account Management teams.
• High attention to detail, with a commitment to producing accurate, scalable, and reliable BI solutions.
• Ability to work independently, prioritize effectively, and manage multiple projects simultaneously.

• Flexible Working Arrangements: Whether you’re a night owl or an early bird, they offer hybrid and remote options to suit your lifestyle
• Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company have got you covered.
• Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
• Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.

POSITION INFO:
Role:
Our client is seeking a full-time Senior BI Developer with strong business intelligence and data engineering expertise to join the company dynamic and growing Data Science team.

Key Responsibilities:
As part of the company Data Science team, you will report directly to the Head: Data Science.

As a Senior BI Developer, you will be responsible for designing, developing, and maintaining the end-to-end BI lifecycle — from data flows and models, to cubes, reports, and templates — across both client-facing and internal initiatives.

The ideal candidate will bring not only technical proficiency in BI, SQL, and Power BI, but also the senior-level expertise to drive innovation, define best practices, and establish BI architectural patterns that scale. You will collaborate closely with clients, Data Engineering, and other internal stakeholders to deliver high-quality BI solutions that unlock value from data collaborations on the company platform.

Key Responsibilities

• End-to-End BI Development: Design and implement BI solutions across the full lifecycle: data ingestion flows (via Synapse pipelines and stored procedures), semantic models, OLAP cubes, and Power BI dashboards and templates.
• Architecture & Standards: Define and enforce BI architectural patterns, governance practices, and reusable frameworks to ensure scalable, maintainable, and high-performing BI solutions.
• Client Engagement: Collaborate directly with clients and account managers to understand business needs, translate requirements into BI deliverables, and deliver insights through dashboards and reporting.
• Innovation & Best Practices: Stay at the forefront of modern BI approaches (e.g., lakehouse, Spark, Delta Lake, Azure Fabric) and bring new ideas to evolve the company BI practice.
• Cross-Team Collaboration: Work with the Data Engineering team on pipeline requirements and design, ensuring BI models are optimized for analytics.
• Internal BI Support: Support the company leadership and internal teams with BI dashboards, reporting frameworks, and ad-hoc analysis that drive operational efficiency and decision-making.
• Performance Optimization: Tune queries, models, and reports to handle large- scale datasets efficiently within Synapse and Power BI.
• Mentorship: Provide guidance and knowledge-sharing to junior team members and contribute to upskilling the broader Data Science and BI function.

• Education /Degrees: Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred.

• 7+ years of experience in BI development, including end-to-end ownership of BI lifecycles, with a proven track record of leading BI innovation and best practices.

• Strong proficiency in Power BI (including DAX, data modelling, report development, templates, and deployment).
• Experience and proficiency in multiple other BI tools (e.g., Tableau, Qlik, Looker, etc.), demonstrating versatility across BI ecosystems.
• Advanced SQL skills with proven experience in Azure Synapse Analytics (dedicated/serverless SQL pools, stored procedures, performance tuning).
• Experience with OLAP cubes, semantic models, and data warehousing concepts.
• Familiarity with ETL/ELT processes (preferably using Synapse Pipelines) and working closely with Data Engineering.
• Understanding of data lakehouse concepts and modern BI integrations with Spark/Delta Lake.
• Proven ability to design BI architectural patterns and enforce governance best practices.
• Experience working with large datasets, retail data, or marketing analytics is highly advantageous.
• Familiarity with software development best practices in BI/analytics environments, including modular development, version control (Git), automated testing, and CI/CD pipelines.

• Microsoft Certified: Power BI Data Analyst Associate (DA-100 / PL-300)
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Exposure to Azure Fabric, Databricks, or similar lakehouse technologies.

• Strong problem-solving ability with a focus on technical delivery excellence.
• Ability to translate business requirements into BI solutions with clear, actionable insights.
• Confident engaging with clients and stakeholders at a senior level while keeping technical focus.
• Effective communication skills to bridge technical and non-technical audiences.
• A collaborative mindset, able to work cross-functionally with Data Engineering, Data Science, and Account Management teams.
• High attention to detail, with a commitment to producing accurate, scalable, and reliable BI solutions.
• Ability to work independently, prioritize effectively, and manage multiple projects simultaneously.

• Flexible Working Arrangements: Whether you’re a night owl or an early bird, they offer hybrid and remote options to suit your lifestyle
• Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company have got you covered.
• Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
• Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.