Intermediate Data Solutions Engineer
Summary
Design and implement data pipelines, advanced analytics (ML/AI), and business dashboards for enterprise clients using SQL, Python, Scala, and BI tools like Power BI and Microsoft Fabric in a hybrid delivery-team setting.
About the job Intermediate Data Solutions Engineer
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
- Front-end tech: Power BI, Microsoft Fabric, Amazon Quicksight, Google Data Studio, Grafana
- Languages: SQL, Python, Scala