Senior Data & Business Intelligence Specialist at First Focus

Muntinlupa, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Sql, PySpark, Microsoft Fabric, Azure Databricks, Snowflake, Data Warehousing, Dimensional Modelling, Etl/Elt, Medallion Architecture, Power Bi, Azure Cloud Services, Ci/Cd, Infrastructure As Code, Api Integration, Agile

Industry

IT Services and IT Consulting

Description

If you love data platforms, dashboards, and the occasional noble battle with messy source systems, this one is for you. We are looking for a Senior Data & Business Intelligence Specialist who can turn spreadsheets, APIs, and slightly overconfident business requests into something useful, reliable, and mildly impressive. This role suits someone who combines strong software engineering fundamentals with modern data engineering expertise. You may have started out as a Software Engineer before moving into Data Engineering, which means you know your way around code, cloud platforms, and the sort of production-ready solutions that do not fall over the moment someone opens Power BI on a Monday morning. You will also need to be comfortable across adjacent technologies, including AI, application development, and automation, because business needs rarely stay in their lane and frankly, neither do we. About First Focus At First Focus, we keep things simple, supportive, and refreshingly free of political theatre. We are Australia’s #1 mid-market MSP, with 330+ staff across Australia, New Zealand, and the Philippines, and we have spent more than 15 years building a business that values capability, trust, and decent humans who get things done. Our culture is transparent, collaborative, and growth-oriented. We trust smart people to do their jobs, give them real support, and keep the paperwork as painless as possible. We live our values, Live Curiously, Never Stop Growing, Be the Solution, and Win Together. You can read more about them here. Why this role stands out You will help shape the data platforms that power better decisions, not just prettier reports. You will work on enterprise data solutions that span warehousing, lakehouse design, pipelines, reporting, governance, and integrations. You will get the chance to work with modern tools and interesting problems, which is a much better use of time than naming columns by instinct and hoping for the best. You will be part of a team that values ownership, clarity, and practical problem-solving. What you will be doing Design, build, and maintain modern enterprise data warehouses and lakehouse solutions. Develop scalable, reliable data pipelines and ETL/ELT processes. Build reporting, dashboards, and BI solutions that business teams actually want to use. Work with stakeholders to understand reporting and analytics requirements. Design robust data models that support operational and strategic decision-making. Ensure data quality, governance, security, and performance across data platforms. Develop integrations between business systems and data platforms. Contribute to application development projects using modern web frameworks or low-code platforms. Participate in solution design, code reviews, and Agile delivery practices. Continuously improve data architecture, automation, and reporting capabilities. What you will bring Strong commercial experience as a Data Engineer, Data Specialist, or Data Platform Engineer delivering enterprise data solutions. Advanced Python, SQL, and PySpark skills. Experience with Microsoft Fabric, Azure Databricks, or Snowflake. Strong experience in data warehousing, dimensional modelling, and BI-focused data modelling. Hands-on experience building batch and streaming data pipelines. Good understanding of medallion architectures, including Bronze, Silver, and Gold layers. Experience working with external APIs to ingest, synchronise, and integrate data. Strong knowledge of data governance, security, access controls, compliance, and quality management. Experience with Microsoft Azure cloud services, including Azure AI Foundry. Experience with cloud-native data solutions, CI/CD, and infrastructure as code. Experience building or supporting Power BI semantic models and reporting solutions. Excellent communication skills and the ability to translate business needs into technical solutions. Experience working in Agile teams and in consulting or client-facing environments. Nice to have Domain experience in finance, ERP, SAP, or other complex business systems. Experience with AWS or another cloud platform alongside Azure. Experience building AI-enabled applications, including vector databases, RAG, and AI agents. Experience integrating AI agents with enterprise systems via APIs, Microsoft Teams, or other business platforms. Experience with Microsoft Power Platform. Experience developing business applications using .NET/C#, Python, Laravel, or similar modern frameworks. Hybrid working arrangements. HMO from day 1, plus 1 dependent (spouse) with dental cover. Free Uprise access with 1:1 coaching. Day shift, weekends off, and 25 paid leave days annually. 10 paid study days per year. Exam fees paid, plus pay rises for certifications, conditions apply. Employee referral program, ₱20,000. MVP award, ₱10,000. Loyalty bonuses. Social events, End-of-FY celebrations, and Christmas parties Offices: 29th Floor, Robinsons Cyberscape Gamma, Topaz Road, Ortigas, Pasig City 26th Floor, Axis Tower One Building, Filinvest Ave, Alabang, Muntinlupa Ready to help build the data platform without losing your soul to bad spreadsheets? Apply now and bring your best work, your curiosity, and preferably your strongest coffee habit. First Focus welcomes applications from Neurodiverse candidates. We recommend and appreciate disclosure along with the application so that a copy of our Neurodiversity Statement can be provided outlining the flexible options we can offer to best showcase your skills. Application Notice: We use AI-assisted recruitment tools to support application review. These tools do not make hiring decisions. All applications are handled by our recruitment team in compliance with the Philippine Data Privacy Act.

Responsibilities

Design, build, and maintain modern enterprise data warehouses, lakehouse solutions, and scalable data pipelines. Develop BI reporting and dashboards while ensuring data quality, governance, and security across platforms.