Exciting Opportunity for a Senior 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 motivation and leadership 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.
- Mentoring and nurturing colleagues to uphold 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 6 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
Exciting Opportunity for a Senior 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 incl...
Exciting Opportunity for a Senior 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 motivation and leadership 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.
- Mentoring and nurturing colleagues to uphold 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 6 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
View more
View less