Intermediate Data Solutions Engineer

Johannesburg - South Africa

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Intermediate Data Solutions Engineer

Exciting Opportunity for an Intermediate Data Solutions Engineer

Elevate your career where we prioritise people and nurture a culture of growth collaboration and innovation.

Join a dynamic multidisciplinary environment that encourages versatility and provides individual attention to career development including intentional and regular one-on-ones with leadership.

Tackle complex challenges and make a meaningful impact alongside passionate professionals who inspire and support each other.

WHAT YOU WILL BE DOING

DELIVERY

Wrangling big data from multiple sources into a reliable evolving asset.
Collaborating with Solution Architects to design and implement cloud hybrid and on-prem solutions.
Designing and implementing optimal data pipelines and delivering impactful advanced analytics using ML AI cognitive services and data science.
Working across descriptive diagnostic predictive and prescriptive analytics.
Familiarising yourself with ML algorithms and AI approaches including clustering regression classification speech recognition OpenAI LLMs vision search and translation.
Understanding DataOps and MLOps to ensure continuous deployment in short cycles with maximum impact and high quality.
Maintaining data lineage and metadata effectively.
Designing and developing business dashboards.
Using technical and data analytics expertise to improve business innovations.

people

Demonstrating maturity time management and motivation in the workplace.
Championing change within the team and fostering a collaborative culture.
Collaborating with cross-functional teams to tackle complex business challenges driving continuous improvement.
Upholding standards of excellence and accountability.

Customer

Building strong relationships and understanding customer needs to deliver impactful solutions.
Managing customer expectations and identifying opportunities for service improvements.
Ensuring compliance with data security and industry regulations.

WHAT WE NEED FROM YOU

A bachelors degree in IT Engineering or related fields.
Minimum 4 years experience as a data solutions engineer in an enterprise environment.
Proficiency in software engineering fundamentals and commitment to clean code and best practices.
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 collaboration and communication skills with a drive for continual improvement.
Pro hybrid working model working from the office on average 2 3 times per week.
A strong customer-facing ability.
Flexibility to work across a variety of different environments and tooling.

WHAT YOU WILL GET FROM US

A competitive compensation package with twice-yearly salary increases and guaranteed bonuses.
Tenure-based loyalty leave.
Access to employee wellness programs and rewards for professional development.
Commission incentives for successful business development leads and employee referrals.
Hands-on support from leadership through regular one on ones and quarterly reviews.
Continuous development programs offering training in leadership and technical skills.
Exposure to enterprise projects across multiple domains and problem spaces for South Africas most esteemed organisations.

THE TECH STACKS WE USE

*Popular but not limited to

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

Intermediate Data Solutions Engineer Exciting Opportunity for an Intermediate Data Solutions Engineer Elevate your career where we prioritise people and nurture a culture of growth collaboration and innovation. Join a dynamic multidisciplinary environment that encourages versatility and provides ind...

Intermediate Data Solutions Engineer

Exciting Opportunity for an Intermediate Data Solutions Engineer

Elevate your career where we prioritise people and nurture a culture of growth collaboration and innovation.

Join a dynamic multidisciplinary environment that encourages versatility and provides individual attention to career development including intentional and regular one-on-ones with leadership.

Tackle complex challenges and make a meaningful impact alongside passionate professionals who inspire and support each other.

WHAT YOU WILL BE DOING

DELIVERY

Wrangling big data from multiple sources into a reliable evolving asset.
Collaborating with Solution Architects to design and implement cloud hybrid and on-prem solutions.
Designing and implementing optimal data pipelines and delivering impactful advanced analytics using ML AI cognitive services and data science.
Working across descriptive diagnostic predictive and prescriptive analytics.
Familiarising yourself with ML algorithms and AI approaches including clustering regression classification speech recognition OpenAI LLMs vision search and translation.
Understanding DataOps and MLOps to ensure continuous deployment in short cycles with maximum impact and high quality.
Maintaining data lineage and metadata effectively.
Designing and developing business dashboards.
Using technical and data analytics expertise to improve business innovations.

people

Demonstrating maturity time management and motivation in the workplace.
Championing change within the team and fostering a collaborative culture.
Collaborating with cross-functional teams to tackle complex business challenges driving continuous improvement.
Upholding standards of excellence and accountability.

Customer

Building strong relationships and understanding customer needs to deliver impactful solutions.
Managing customer expectations and identifying opportunities for service improvements.
Ensuring compliance with data security and industry regulations.

WHAT WE NEED FROM YOU

A bachelors degree in IT Engineering or related fields.
Minimum 4 years experience as a data solutions engineer in an enterprise environment.
Proficiency in software engineering fundamentals and commitment to clean code and best practices.
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 collaboration and communication skills with a drive for continual improvement.
Pro hybrid working model working from the office on average 2 3 times per week.
A strong customer-facing ability.
Flexibility to work across a variety of different environments and tooling.

WHAT YOU WILL GET FROM US

A competitive compensation package with twice-yearly salary increases and guaranteed bonuses.
Tenure-based loyalty leave.
Access to employee wellness programs and rewards for professional development.
Commission incentives for successful business development leads and employee referrals.
Hands-on support from leadership through regular one on ones and quarterly reviews.
Continuous development programs offering training in leadership and technical skills.
Exposure to enterprise projects across multiple domains and problem spaces for South Africas most esteemed organisations.

THE TECH STACKS WE USE

*Popular but not limited to

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