Data Engineer

DBiz.ai; City of Melbourne; Vor Ort; AUD 100.000 - 140.000; Vollzeit

Benefits dieser Stelle

Flexible working arrangements

Learning and development investment

Great people to work with

Professional growth opportunities

Zusammenfassung

DBiz Solution is seeking a Data Engineer to join our onsite team in Melbourne, Australia. You will drive data migration from AX, Excel and other sources into the D365 data store, building scalable pipelines and reliable analytics.

The role requires strong SQL, data migration expertise, experience with Spark/PySpark, Databricks, and modern CI/CD practices. Collaborate with stakeholders to deliver high-impact data solutions in a fast-paced environment.

Qualifikationen

• Proficient in SQL and data migration techniques.
• Experience in data migration strategies using industry-standard tools.
• Experience with distributed compute frameworks like Spark/PySpark.
• Strong stakeholder management and communication skills.
• Knowledge of CI/CD and infrastructure as code practices.
• Understanding of data modelling/warehousing concepts.

Aufgaben

• Lead data migration activities: Extraction, Transformation & Load into D365 data store.
• Collaborate with stakeholders to define data governance, quality, and reporting needs.

Kenntnisse

SQL

Data Migration

Azure

D365

Databricks

Python

PySpark

CI/CD

Data Warehousing

Data Modelling

Tools

Databricks

Spark

Jobbeschreibung

Mode : Onsite (Atleast 3 days working from office)

DBiz Solution is a Transformational Partner. Digital transformation is intense. We’d like for you to have something to hold on to, whilst you set out bringing your ideas into existence. Beyond anything, we put humans first. This means solving real problems with real people and providing needs with real, working solutions.

DBiz leverages a wealth of experience building a variety of software to improve our client’s ability to respond to change and build tomorrow’s digital business. We’re quite proud of our track record. Having delivered over 150 projects for over 100 clients, we can honestly say we leave our clients happy and wanting more.

Using data, we aim to unlock value and create platforms/products at scale that can evolve with business strategies using our innovative Rapid Application Development methodologies.

The passion for creating an impact :

Our passion for creating an impact drives everything we do. We believe that technology has the power to transform businesses and improve lives, and it is our mission to harness this power to make a difference. We constantly strive to innovate and deliver solutions that not only meet our clients' needs but exceed their expectations, allowing them to achieve their goals and drive sustainable growth. Through our world-leading digital transformation strategies, we are always growing and improving. That means creating an environment where each and every one of us has the opportunity to strive together for excellence.

Your new role :

We are seeking individuals who possess an unwavering determination to create a meaningful impact – not only for our valued customers, but also within our close-knit team and across DBiz.

In this exciting role as a Data Engineer, you will have to carry out data migration required activities- Extraction/Transformation & Load (Data has to be moved from different systems like AX, Excel and other data sources into a data store that their Microsoft D365 uses )

What you'll require for success :

• Proficient in SQL
• Expert in Data Migration
• Experience in delivery of data migration strategies using industry standard toolsets and techniques Experience in distributed compute/file system technologies (I.e. Spark, PySpark)
• Excellent customer and stakeholder management skills
• Good communication skills and a technical acumen
• Sound understanding and working knowledge in Data assessment & Planning, Data Cleansing, Data migration, Assistance in Integration, Data governance & management and data reporting
• Knowledge of CI/CD and Infrastructure as Code methodologies
• Sound understanding of data modelling/warehousing techniques (entity-relationship and relational modelling, Kimball, Data Vault and multi-layered analytics architectures)
• Databricks
• Languages like Python, SQL, optionally R for data manipulation, analysis, and modelling
• Understanding of Azure, Power platforms, D365

Be highly valued :

• Access to flexible working arrangements.
• Learn from experienced professionals.
• Great people to work with.
• Investment in your learning and development.