Senior Data & Analytics Engineer

Datacom; Pateros; Hybrid; PHP 1,000,000 - 2,000,000; Full time

Benefits offered by this job

HMO with Free 4 Dependents

Leave credits

Performance bonuses

spotter fees

Work-life balance environment

Job summary

Datacom Philippines is seeking a Senior Data & Analytics Consultant/Engineer to lead the technical delivery of large-scale data platforms and BI solutions. You will design, implement, and own end-to-end data platform components while collaborating with principal consultants, project managers, and client stakeholders.

You’ll need deep expertise in Snowflake, Apache Airflow, Python, and SQL, plus strong communication to work with technical and non-technical teams.

Qualifications

• Bachelor's degree in Computer Science or related discipline.
• Excellent verbal and written communication skills to work collaboratively with technical and non-technical stakeholders.
• Proven track-record of designing and building modern data platforms in a Data Engineering or Analytics Engineering capacity.
• Hands-on experience designing and maintaining Snowflake database objects, including tables, views, schemas, stages, and stored procedures.
• 5+ years of experience developing data engineering solutions using Python and SQL, including automation, data processing, and integration with platforms such as Snowflake and Apache Airflow.
• 5+ years of experience using Apache Airflow to build, schedule, monitor, and support data pipelines, including managing workflow dependencies and troubleshooting operational issues.
• 5+ years of experience designing and implementing enterprise data warehouse solutions, including dimensional modelling (star and snowflake schemas) and Slowly Changing Dimensions (SCD).
• Experience working with CI/CD practices and deployment pipelines.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Experience with dbt (Data Build Tool) is a plus.

Responsibilities

• Lead the technical delivery of large-scale data platform and BI solutions.
• Design, build, and maintain scalable data pipelines and data platform solutions.
• Develop and optimize data models, transformations, and database objects within Snowflake.
• Troubleshoot data pipeline issues and ensure timely delivery of critical business data.
• Build, support, and enhance workflow orchestration processes using Apache Airflow.
• Contribute to CI/CD processes and DevOps practices to improve deployment reliability and efficiency.
• Provide detailed documentation, end user training and knowledge-transfer services to customers and internal teams.
• Manage development life cycle using various source code management tools.

Skills

Python

SQL

Snowflake

Apache Airflow

Data Modeling

CI/CD

Cloud platforms

dbt

Education

Bachelor's degree in Computer Science

Tools

Snowflake

Apache Airflow

dbt

Power BI

Job description

At Datacom, we combine technology, expertise, and talented people to help organisations thrive in a rapidly changing world. As one of Australasia's leading technology providers, we work with customers across industries to solve real-world problems and deliver meaningful outcomes.

Whether we're supporting governments, enterprise organisations, or growing businesses, we're committed to creating meaningful outcomes for our customers, communities, and each other.

Our Team

The Data and Analytics team are a progressive group of diverse and creative individuals with a deep love for all things data related. They build platforms and solutions that are leading edge and at the forefront of the technology curve. A close knit and fun team embedded within our rapidly growing Professional Services division, and part of the wider Datacom ecosystem.

About the Role

As a Senior Data & Analytics Consultant/Engineer, you will lead the technical delivery of large-scale data platform and BI solutions. You will be asked to design, implement and own the delivery of robust Data Platform solutions and end-to-end components. The role will work closely with principal consultants, practice leads, project managers, and client stakeholders and teams. This is a client facing role, so you'll need to be an excellent communicator and good with people.

What You’ll Do

• Working with clients (businesses users) to gather, clarify requirements and business rules by running workshops with stakeholders.
• Provide overall thought leadership to our clients regarding data profiling and integration recommendations.
• Design, build, and maintain scalable data pipelines and data platform solutions.
• Develop and optimize data models, transformations, and database objects within Snowflake.
• Troubleshoot data pipeline issues and ensure the timely delivery of critical business data.
• Build, support, and enhance workflow orchestration processes using Apache Airflow.
• Contribute to CI/CD processes and DevOps practices to improve deployment reliability and efficiency.
• Ability to perform performance tuning and optimisation on new and/or existing data warehouse solutions.
• Provide detailed documentation, end user training and knowledge-transfer services to customers, and internal teams.
• Managing development life cycle using various source code management tools.

Required Skills and Qualifications

• Bachelor's degree in Computer Science or related discipline
• Excellent verbal and written communication skills to work collaboratively with technical and non-technical stakeholders.
• Proven track-record of designing and building modern data platforms in a Data Engineering or Analytics Engineering capacity.
• Hands-on experience designing and maintaining Snowflake database objects, including tables, views, schemas, stages, and stored procedures.
• 5+ years of experience developing data engineering solutions using Python and SQL, including automation, data processing, and integration with platforms such as Snowflake and Apache Airflow.
• 5+ years of experience using Apache Airflow to build, schedule, monitor, and support data pipelines, including managing workflow dependencies and troubleshooting operational issues.
• 5+ years of experience designing and implementing enterprise data warehouse solutions, including dimensional modelling (star and snowflake schemas) and Slowly Changing Dimensions (SCD).
• Experience working with CI/CD practices and deployment pipelines.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Experience with dbt (Data Build Tool) is a plus.

Nice to have

• Advanced skills in Azure, Fabric, and Snowflake pipelines, with experience in tools such as Azure Data Factory, Coalesce, Matillion, dbt, Databricks, Fivetran, and Airflow (must have)
• SnowPro, Coalesce, Microsoft Azure, or Microsoft Fabric certifications are highly regarded.
• Strong skills in data platform implementation, configuration, performance and cost management tuning (i.e. Azure, Fabric, Snowflake)
• Hands-on experience with Power BI and/or other business intelligence and data visualization tools.

Culture and Benefits

Join a team where you'll be supported to grow your career, prioritise your wellbeing, and make a genuine impact. From industry-leading learning and development opportunities to parental leave, wellbeing support, and employee benefits, we're committed to helping our people thrive both professionally and personally

We're passionate about creating a workplace where people feel supported, empowered, and inspired to do their best work. Whether you're developing new skills, tackling complex challenges, or collaborating with some of the best minds in the industry, you'll be part of a team that values curiosity, innovation, inclusion, and making a genuine difference.

Our office is at BGC Taguig and we have hybrid work setup(Twice a week) and a flexible work schedule and we promote Work-Life balance, and an APAC focus means no graveyard shifts!

• spotter fees
• HMO with Free 4 Dependents
• Leave credits
• Performance bonuses
• a work-life balance environment

Datacom is one of the largest Australasian-owned professional IT services companies, offering customers flexibility and choice, an open book approach to business and a customer focus second-to-none.With over 3,000 employees Datacom services a broad clientele including, IBM, Hewlett Packard, Manpower, Netgear, Fujitsu, Lexmark, CISCO and a range of Federal and State Government departments. Founded in Christchurch New Zealand in 1965, Datacom has a successful 43 year trading history, is consistently growing and profitable and has a track record of delivering innovative, value-for-money technology solutions.Established in Australia in 1992, Datacom’s capabilities include Contact Center Solutions, Business Solutions, and Managed Services.

Datacom is one of the largest Australasian-owned professional IT services companies, offering customers flexibility and choice, an open book approach to business and a customer focus second-to-none.With over 3,000 employees Datacom services a broad clientele including, IBM, Hewlett Packard, Manpower, Netgear, Fujitsu, Lexmark, CISCO and a range of Federal and State Government departments. Founded in Christchurch New Zealand in 1965, Datacom has a successful 43 year trading history, is consistently growing and profitable and has a track record of delivering innovative, value-for-money technology solutions.Established in Australia in 1992, Datacom’s capabilities include Contact Center Solutions, Business Solutions, and Managed Services.