Exciting Opportunity for an Intermediate Data Solutions Engineer at Entelect Elevate your career at Entelect, 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'll 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 You'll 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. What To Expect from the Recruitment Process: Our aim is to make the recruitment process as efficient as possible, keeping you informed every step of the way. The first step is an initial conversation with our talent team to get to know you better and introduce you to Entelect and all that we have to offer. The next step will be a 1.5-hour in-person technical interview at one of our offices where you will meet some of our leadership team. Finally, if we are both aligned, we wrap up the process with salary discussions and present you with an offer of employment. Not quite ready but eager to learn more? Click the apply button and select, Im not ready but keen to explore my options on form to set up an exploratory chat. Our team understands that good things take time and are happy to wait until that time is right for you. 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. 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