Graduate Data Engineer

SUMMARY:
Exciting Opportunity for a Data Engineer! (And yes, this is totally cool!)
Okay, so picture this: You're a highly skilled Data Engineer, sitting in your cozy workspace, surrounded by monitors, crunching data like it's the last episode of Battlestar Galactica. Sound good? Great, because I’m looking for someone exactly like you! If you’re passionate about designing and implementing next-level data solutions and have a stellar academic track record (because, let’s face it, grades do matter), then this opportunity is like the Higgs boson of jobs—hard to find, but incredibly valuable!

POSITION INFO:

What You’ll Be Doing (aka Fun with Data!):
Designing, developing, and implementing data pipelines and ETL processes—think of it as building the Large Hadron Collider of data!
Collaborating with clients to understand their business requirements (or as I call it, decoding their quantum superpositions of needs)
Working closely with cross-functional teams, ensuring that everyone’s code plays nice together
Collecting and integrating data from various sources like databases, APIs, external providers, and even mysterious streaming sources (cue X-Files theme)
Aggregating unstructured data into a structured format for data warehousing—because chaos is cool in physics, not in data storage
Optimizing data schemas and ensuring data quality and integrity—because Schrödinger’s cat should be alive OR dead, not both in your dataset
Processing and analyzing massive datasets (which is just a fancy way of saying, “You’ll be a data wizard!”)
Implementing and understanding Data Architecture, including data in motion, data at rest, and the deep philosophical question: Why do we store so much data?
Keeping up with the latest trends in data engineering—because being outdated is so… dial-up

What You Need to Succeed (aka Your Superpowers):
Strong proficiency in SQL (obviously)
Proficiency in at least one programming language: Python, Scala, or Java. (Bonus points if you can argue why one is superior.)
Solid experience working with relational databases (or at least knowing why they still matter)
Hands-on experience with cloud-based data platforms like AWS, Azure, or Google Cloud (because everything is in the cloud now, even your grandma’s recipes)
Expertise in Data Modelling and Database Design
Experience in designing and implementing efficient ETL pipelines—because data teleportation isn’t a thing yet

Bonus Skills (Not Required, But Will Impress Me):
Experience with Snowflake and Matillion (because who doesn’t love cool-sounding tools?)
Knowledge of NoSQL databases like MongoDB or Cassandra (because sometimes SQL just doesn’t cut it)
Experience with distributed systems like Hadoop and Spark (because Big Data is like the universe—ever-expanding)
Familiarity with Apache NiFi (it’s not sci-fi, but it’s close)
Exposure to MapReduce, Hive, Pig, or HBase (if you know these, you’re already cooler than most people I know)
Understanding of operating systems like UNIX, Linux, and Windows (because knowing one OS is so basic)

Qualifications I’m Looking For (Yes, There’s a Bit of a Nerd Filter):
Essential:
BSc in Computer Science or Information Technology
Preferred:
BSc Honours in Computer Science or Information Technology
BEng / BSc Engineering

Who I’m Looking For (Aka “Are You My Data Jedi?”)
I need someone who:
Finished their studies within the prescribed time (because efficiency is sexy)
Scored predominantly 70% and above in their last two years of study (because, like it or not, grades matter in tech)

If this sounds like you and you’re ready to level up your data engineering career, let’s talk! I promise it’ll be more fun than arguing about Star Wars plot holes.

Apply today and let’s geek out about data!

Although you may not meet all the requirements needed, please still consider sending through your CV as we have many roles available and could possibly find another great opportunity for you!!


Contact Selandea McGuinness on or , quoting Ref: CTI004867.

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