Senior Data Engineers – 12 month contract gigs


Data Engineering seems to be all the rage this year, hey??  And this trend doesn’t seem to be changing any time soon.  We’ve been involved in some damn cool data gigs this year, some complex environments and solutions that we’ve had to support, and these opportunities are no different!

Let’s start with the who and the why now?
How do I describe this business?? Mmm, one of our all time favs! One we’ve partnered with for 5 years and witnessed their strength and growth.  Consulting. Digital Innovation and Transformation.  Actually think all things digital – growth – AI – Analytics – IoT – UX – UI….(just to name a few).

Why now you wonder?  Well, their services are in demand and the reason IMHO is simple – they’re damn good at what they do. Drum roll please…so we’re not looking to find just one stellar Data Engineer – I’m talking MANY Data Engineers across multiple states.

And how about the what?
First and foremost with everything we do when we partner with said company, we like to make sure that we find that special someone that not only has the technical chops to master all things data engineering in an AWS/Azure hosted and CI/CD environment, but ALSO someone who can navigate complex corporate environments, and forge relationships with stakeholders.   I can’t emphasise this enough, developing relationships has to be something that gets you outta bed!

Ok, so now that we have the soft skills that we are looking for down pat, let’s talk tech, think:

  • Designing, building and managing big data infrastructure solutions.
  • Designing, constructing, testing and maintaining data pipelines to pull together information from various source systems and of course integrating and cleansing, and ensuring scalability and robustness.
  • Experience working in cloud based data solutions, whether that be AWS, Azure, Google Cloud Platform.
  • Expertise in architecting and engineering cloud-based data solutions using AWS Redshift, S3, EC3, Lambda, EMR, Glue, DynamoDB, Cloudformation, Athena, Azure Data Bricks, Data Factory, Synapse.
  • Big data technologies and tools like Hadoop, Kafka, Hive, Spark Streaming, 
  • Programming languages – Python, Scala, Java, R.
  • SQL and NoSQL technologies.
  • Experience working in a CI/CD environment.

That was exhausting!  Ok, if you feel you have that special blend of technical prowess and commercial nous, and are just a little bit curious about what I’ve said here, then by all means, shout out!  I’d love to connect.

Sonia Bonnici
[email protected]

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