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Datacom SouthEast Asia

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Senior Data & Analytics Engineer 2 months ago

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Summary

A senior consultant/engineer who leads technical delivery of large-scale data platform and BI solutions for clients — running stakeholder workshops, architecting warehouses, and building ETL/ELT pipelines. Core stack: Azure, Fabric, Snowflake, ADF, dbt, Airflow, Python, SQL, and Power BI.

Description About Us

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.

What You’ll

  • Doing working with clients (businesses users) to gather, clarify requirements and business rules by running workshops with stakeholders. Contribute to the technical architecture, design and delivery for a new data platforms.
  • Providing overall thought leadership to our clients regarding data profiling and integration recommendations. Data modelling (relational and dimensional modelling) Managing development life cycle using various source code management tools.
  • Performing performance tuning and optimisation on new and/or existing data warehouse solutions. Providing detailed documentation, end user training and knowledge-transfer services to customers, and internal teams.

Skills

And Requirements Excellent consultation and stakeholder management skills. Excellent verbal and written communication skills.

Proven track-record of designing and building modern data platforms Advanced skills in Azure, Fabric, and Snowflake pipelines, with experience in tools such as Azure Data Factory, Coalesce, Matillion, dbt, Fivetran, and Airflow (must have) Advanced ETL/ELT process design and implementation.

Advanced skills in SQL performance tuning, query plan, query plan analysis, indexing, table partitioning. Must have strong skills and experience in Python development in the data space and commonly used data analysis and processing related python packages. Strong skills in cloud platforms such as Azure and AWS.

Strong skills in data platform implementation, configuration, performance and cost management tuning (i.e. Azure, Fabric, Snowflake) Strong skills in Power BI and semantic data modelling.

Required Skills

And Qualifications Bachelor's degree in Computer Science or related discipline Snowpro and Coalesce certified or Microsoft Azure/Fabric certified data engineer

Experience

Experience in EDW design and implementation. Experience in ETL architecting and design. Experience in data modelling (Star schema & Snowflake schema)

Experience in reporting and visualization tools. Experience in Power BI

Culture

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!

Benefits

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 also provide exciting perks such as spotter fees, HMO with Free 4 Dependents, Leave credits, Performance bonuses, and a work-life balance environment.

Skills

See also

Data Analytics jobs by country — openings, pay and top skills →

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