Junior Data Engineer

At TL Consulting, we simplify modern complexity with advanced, sustainable engineering. As a proudly Australian-owned consultancy with over 15 years of experience, we empower businesses to innovate and achieve measurable outcomes through scalable, cloud-native solutions. Our 50+ consultants operate across key sectors including banking, financial services & insurance (BFSI), government, retail, education, and entertainment. This cross-industry expertise allows us to deliver customer-centric solutions that combine deep technical capability with a clear understanding of each client’s strategic vision. Our approach leverages proven, scalable blueprints tailored to your business direction—enabling accelerated outcomes, maximized ROI, and sustainable long-term adoption.
We maintain strategic partnerships with organizations that share our vision for a cloud-native future. Through our collaborations with Microsoft, GitHub, and Databricks, we ensure our capabilities stay aligned with evolving best practices. These partnerships also provide access to innovation programs, co-funding opportunities, and dedicated support - helping us accelerate time-to-value for our clients.
About the roleWe are seeking an experienced Data Engineer to design, build, and optimize modern data platform across Azure Databricks and Fabric. This role will be instrumental in architecting and developing scalable data solutions using Databricks and Microsoft Fabric, enabling data-driven decision-making across the organization.
Key Responsibilities
Data Platform DevelopmentDesign and implement robust data pipelines and ETL/ELT workflows using Databricks and Microsoft FabricArchitect and maintain lakehouse solutions leveraging Delta Lake and OneLake architecturesOptimize data processing workflows for performance, cost-efficiency, and scalabilityDevelop and maintain real-time and batch data integration solutions
Technical LeadershipLead the implementation of data architecture standards and best practicesMentor junior data engineers on modern data engineering techniquesCollaborate with data scientists, analysts, and business stakeholders to understand requirementsEvaluate and recommend new technologies and tools to enhance the data platform
Data Quality & GovernanceImplement data quality frameworks and monitoring solutionsEstablish and enforce data governance policies and security controlsEnsure compliance with data privacy regulations and organizational standardsDesign and implement data lineage and metadata management solutions
Performance & OptimizationMonitor and optimize query performance across Databricks and Fabric environmentsImplement cost optimization strategies for cloud data infrastructureTroubleshoot complex data pipeline issues and implement solutions
Skills & Experience
Education: Bachelor’s degree in engineering, Computer Science, or a related field. Master’s degree or MBA preferred.
Experience:3+ years of experience in data engineering, data analytics, business intelligence, or related data domains.3+ years of experience in a consulting or professional services environment.Proven experience in working with data engineering teams and delivering client-focused solutions.
Technical Skills:Expertise in data analytics tools and platforms (e.g., SQL, Python, R, Apache Spark, Tableau, Power BI).Expertise in Azure services and analytics platforms such as Databricks, Synapse and MS Fabric (Data Factory, Synapse, Power BI, OneLake)Knowledge of other cloud platforms (e.g. AWS, Google Cloud) is a plus.Expertise with data lake modelling such as Kimball (Star Schema) and Data Vault modelling.Understanding of machine learning, predictive analytics, and data visualization techniques.Strong expertise with Databricks platform including Delta Lake, Spark, and MLflowKnowledge of infrastructure as code (Terraform, ARM templates)Has worked with Databricks Assets BundlesFamiliarity with CI/CD pipelines for data workflowsStrong understanding of data warehousing concepts and dimensional modeling
Soft Skills:Strong client focus and ensures effective relationships are in place with key client stakeholders to deliver that service.Excellent client relationship management skills with the ability to explain complex technical concepts to non-technical stakeholders.Solid experience in relationship management, conflict resolution, influencing and negotiation.Must be able to work independently but also lead Consulting engagements in a highly matrixed environment (especially for short-term engagements).A team player who can liaise effectively with a diverse group of delivery teams to ensure a positive experience for the customer.Ability to manage multiple projects simultaneously and prioritize effectively in a dynamic environment.Excellent verbal and written communication skills.
Preferred Qualifications:Consulting experience in various industries (e.g., finance, healthcare, manufacturing).Azure and Databricks certifications are a plus.Experience with Agile methodologies and project management tools.
WHY JOIN USBe part of a dynamic consultancy firm that values innovation, growth, and professional development.Lead a growing practice at the forefront of data-driven business transformation.Work with diverse, top-tier clients across multiple industries, delivering impactful solutions.Competitive salary and benefits package.Career development and growth opportunities within a rapidly expanding organization.
This is a Sydney based, permanent opportunity and will be hybrid in nature. No agencies please. Candidates must have valid visa with full work rights in Australia. Visas will not be transferred or sponsored.
TL Consulting Group understands the importance of fostering a diverse and inclusive workplace. We are committed to ensuring that everyone, no matter their gender, identity, sexual orientation, race, ethnicity, religion, disability, or age, has equal access to opportunities. We warmly welcome applications from all individuals, including Aboriginal and Torres Strait Islander peoples, members of the LGBTQI+ community, and individuals with disabilities.