Data Engineering Consultant

About Billigence:

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.

About the role:

We are seeking an experienced Data Engineering Consultant to join Billigence India. This role will lead the regional offering, where you will design and implement scalable data solutions using cutting-edge technologies such as Databricks, Snowflake, GCP, AWS, or Azure. You will help clients unlock the full potential of their data and contribute to building strong data engineering capabilities within the team, including mentoring junior team members. Additionally, you will play a key role in interviewing candidates for similar roles to support the growth of our engineering team.

What you’ll do:

Design, build, and optimize robust data pipelines and ETL processes using Apache Kafka for real-time streaming data.

Implement and manage data solutions using Databricks, Snowflake, Azure, and Apache Kafka.

Collaborate with cross-functional teams to deliver tailored data solutions for both real-time and batch processing.

Ensure data quality, governance, and security best practices across all systems.

Mentor junior team members and contribute to their technical development.

Actively participate in interviewing and evaluating candidates for roles within the team.

What you’ll need:

In-depth knowledge of Databricks, Snowflake, Azure Data Services, and cloud-native architectures.

Proven experience in designing and implementing cloud-based data solutions for both real-time and batch data processing.

Proficiency in SQL, Python, or other programming languages.

Solid experience working with cloud data warehouses and data lakes.

Strong communication and collaboration skills to work effectively with technical and non-technical stakeholders.

Experience mentoring junior team members and supporting their technical growth.

Active involvement in interviewing and evaluating new team members, ensuring the continuous strength of the team.

Benefits:

Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home.

Competitive compensations package + performance bonus.

Referral bonus scheme.

Coaching, mentoring, and buddy scheme (for faster integration during the probationary period)

Certification opportunities throughout your time with us.

Career growth support, internal moves, and career advancement opportunities.

Team building and networking events.

Inclusion and equal opportunities:

We are always on the lookout for talented individuals to join our team at Billigence. We are an equal opportunity and inclusive employer and are committed to creating an inclusive environment for all applicants and employees. We will consider all applicants for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status .