WHAT YOU WILL BE DOING
DELIVERY

Wrangling (big) data from multiple sources into a reliable asset that is aimed at evolution instead of maintaining a status quo
Working together with our best-of-breed Solution Architects to design and implement state-of-the-art cloud, hybrid and on-prem solutions
Designing and implementing the best possible data pipelines for each data source and data store, as well as delivering impactful advanced analytics using ML, AI, cognitive services, and data science
Working along the full spectrum of descriptive, diagnostic, predictive and prescriptive analytics
Familiarising yourself with ML algorithms and AI approaches like clustering, regression, classification, speech recognition, OpenAI, LLMs, vision, search, and translator
Understanding DataOps and MLOps approaches to ensure our solutions will continuously be deployed in short delivery cycles with maximum business impact and the highest quality standards possible
Ensuring data lineage and all metadata is maintained effectively
Designing and developing the sexiest possible dashboards for business
Using your combination of technical and data analytics expertise to improve existing or proposed business innovations

PEOPLE

Working with multi-skilled teams that contain experts from neighboring crafts like Software Engineering, User Experience and Quality Assurance
Demonstrating maturity and soft skills like time management and motivation
Influencing change within your team
Building relationships and collaborating within your team
Working with teams to solve complex business problems, and make an impact, while pushing yourself and others to become more
Coordinating with teams to meet quality standards and timelines
Mentoring and growing others
Holding others accountable to a standard of excellence
Galvanising team members

CUSTOMER

Being pragmatic in making the best technological choices for the customers needs
Identify opportunities for service improvements and strategic alignment
Providing insights to business owners to validate their ideas and guide them to make the most informed decisions possible with the most desirable outcome
Being prudent when it comes to data governance. We want to ensure that our customers can fully trust the data assets that we build out for them
Flexing your story-telling muscle when assembling the presentation layer for business owners

WHAT WE NEED FROM YOU

A bachelors degree in IT, Engineering or other Sciences
Minimum 6 years of experience working as a data solutions engineer within an enterprise environment
Experience working in a delivery team together with other disciplines to deliver a product
Strong ability to model and analyse data
Solid understanding of data engineering methodologies
Good understanding of visualisation best practices
A desire to design and implement modern advanced analytics solutions and modern data warehousing solutions
Strong attention to detail but viewed from a bigger picture perspective
To collaborate and bring your unique contributions to a team environment
An ambition to continually improve your skills, embrace challenges and be driven by excellence

WHAT YOU WILL GET FROM US

A competitive package, twice yearly salary increases and guaranteed bonuses
Medical aid, provident fund and insurance benefits with competitively low premiums
Access to our employee wellness programme, with professional support resources for all aspects of wellness
Inclusion in our Entelect Rewards programme, where youll receive rewards for attending training events, social functions or for doing a good job
Commission incentives for successful business development leads and employee referrals
Hands-on support from leadership
Exposure to popular enterprise technologies and large-scale projects
Exposure to Entelects in-house continuous development programmes, offering training in everything from leadership to deep technical skills
Continuous feedback and biannual performance reviews

THE TECH STACKS WE USE

Cloud environments: Azure, AWS, Google
Front-end tech: Power BI, Microsoft Fabric, Amazon Quicksight, Google Data Studio, Grafana
Languages: SQL, Python, Scala
Data processing: Azure Data Factory, Amazon Glue, Apache Airflow, Databricks, Spark SQL
Relational databases: MSSQL, PostgreSQL, Oracle, MySQL, Azure SQL, Amazon RDS
NoSQL databases: MongoDB, Cosmos DB, DynamoDB, Neo4j
Streaming: Azure Stream Analytics, Kafka, Databricks streaming, Spark streaming, Google Dataflow, Amazon Kinesis
ML Platforms: Azure Machine Learning, Databricks ML, Amazon Sagemaker, Dataiku
AI: Azure OpenAI, Azure Cognitive Services, AWS Cognitive Services, Google Cognitive Services

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