Freelance Data Science Engineer (Python & Sql)
Data engineer at Nuvento, a Canberra-based technical data consultancy, building and maintaining Spark pipelines and Kafka-based data-lake ingestion for a large Australian Federal Government client. Core stack: Spark, Kafka, Python/Scala/Java, HDFS/S3, and Airflow; Baseline security clearance (NV1 preferred) is mandatory.
- Compensation
- Not disclosed
- Location
- Canberra, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- 3+ years of experience in data engineering, software development, or related field
- Strong programming skills in Scala, Python, or Java
- Expertise in Spark, Kafka, and big data processing concepts
- Experience with data storage solutions such as Hadoop HDFS or Amazon S3, and data serialization formats
- Knowledge of database concepts, data modelling, schema design, and normalisation
- Familiarity with monitoring/logging tools and workflow management tools such as Apache Airflow
- Experience with version control systems, such as Git
- Baseline security clearance required (NV1 preferred)
- Strong communication, problem-solving, and collaboration abilities
- Ability to work independently and in a team-oriented, collaborative environment
Full description
Who we are and how are we different?
Nuvento is a Canberra-based specialist technical data consultancy that provides consultancy services to both private and public organizations throughout Australia. Our team consists of passionate and highly skilled professionals who are dedicated to delivering the right solutions with the right tech in the right way, on time, every time.
We're a business run by techs, for techs, that challenge the mould and strives to be different.
Our driving principles include:
- being generous in our knowledge, spirit, and time
- accountable and transparent
- dedicated to growth, knowledge sharing and development
- valuing work-life balance
- and rewarding our staff for the value they provide
Who we are looking for:
We are looking for a Data Engineer with experience in Spark and Kafka to operate with one of our large Federal Government Clients. As a Data Engineer, you will have the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to ensure successful data integration.
Your Responsibilities:
- Maintain and develop Spark pipelines to process large‑scale data sets.
- Ingest tables into our data lake from Kafka using batch processing, micro‑batching, or real‑time processing techniques.
- Run Spark jobs for ingestion, curation, and extraction of data.
- Alter schemas and configs to meet business requirements and ensure data quality.
- Attend meetings regarding data ingestion and collaborate with cross‑functional teams to ensure successful data integration.
- Troubleshoot and resolve bugs in the data processing pipelines.
- Monitor performance and troubleshoot issues using logging and monitoring tools.
- Document best practices and develop standards for data processing pipelines.
- Stay up‑to‑date with emerging technologies and industry trends in big data processing and analytics.
Requirements:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 3+ years of experience in data engineering, software development, or a related field.
- Strong programming skills in Scala, Python, or Java.
- Expertise in Spark, Kafka, and big data processing concepts.
- Experience with data storage solutions, such as Hadoop HDFS or Amazon S3, and data serialization formats.