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Data Engineer

Annual Salary Negotiable

Professionals - Database and Systems Administrators, and ICT Security Specialists

TAS - Hobart (Post code: 7000)

Recruiting numbers: 1

Expiration date: 06-Jan-2026

Full Time
09-Dec-2025 update visited:
Job requirements

Educational requirements: Bachelor

English requirements: Competent English

Requirements for skilled employment experience for years: 1-3 years

Required residence status: Temporary visa

Accept remote work: Accept during COVID-19 restrictions only

Hobart, TAS /Consulting – Consulting (TAS) /PermanentApply for this jobServian, is an award winning, regional and global tech consultancy with a rich heritage in Data, DevOps, Digital app dev, Machine Learning and cloud. We embrace innovation, change, and the positive impact it has for us and our clients. All roles at Servian involve personal and technical development pathways which aim to facilitate your career growth. We aim to build an employee experience where you will grow more with us, not be drowned out by the loudest voice, and hence we strive to set you up for a career which will have a greater impact. We are currently looking for talented Data Engineers to join our growing Hobart-based team. You will be working on exciting and interesting projects, being involved in implementing strategies and delivering on cloud solutions in Google Cloud, Azure and AWS. Our consultants are natural problem solvers - they are curious, ambitious and experts in their fields. You will have the opportunity to collaborate and learn from them. You will be working on exciting and interesting projects, working with our clients to understand their needs and to help shape the engagements that allow Servian to provide services that will meet those needs. If you have a passion for learning new technologies, want to be tech agnostic, and work with like minded technologists, Servian is the place to grow your career and have fun in the process!You will be involved in: Development of end to end data pipelines. We are particularly interested in Google Cloud, Azure, AWS or Snowflake experience. Advising on data architecture, data models, data migration, integration and pipelines and data analysis and visualisation. Implementing solutions for the establishment of data management capabilities including data models and structures, database and data storage infrastructure, master and metadata management, data quality, data integration, data warehousing, data transformation, data analysis and data governance. Development and execution of Data migrations. Supporting pre-sales activity to promote Servian, our capabilities and value to current and prospective clients. About you A strong analytical thinker and problem solver with thought leadership and commercial awareness. Experienced building end to end data pipelines using on-premise or cloud based data platforms. Experienced with hands-on delivery of solutions which include databases, advanced SQL and software development in languages such as Python, Scala, Java, TSQL, PL/SQL to name a few. Knowledgeable in relational and big data architectures, data warehousing, data integration, data modelling, data optimisation and data analysis techniques. Interested and knowledgeable in Big Data technologies and Apache ecosystem technologies such as Beam, Spark, Kafka, Hive, Airflow, NiFi, databases, integration, master data management, quality assurance, data wrangling and data governance technologies. Knowledgeable in Cloud Data Warehouse services. Experience in Google BigQuery, Snowflake, AWS Redshift, Azure SQL DWH or Azure Databricks is highly desirable. Experienced with public cloud platforms and cloud infrastructure, which is essential. Exposed to ETL/ELT and governance tools (inc Talend, Informatica, Matillion, FiveTran, IBM Datastage, Collibra) Interested in AI and ML technologies and principles. Able to migrate and transform large, complex datasets from diverse sources, structures and formats, modeled to support analysis for access to quality actionable insights.
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Last online time: 19-Jan-2024 11:28
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