Senior Data Solutions Engineer

Entelect

Wes-Kaap

Hybrid

ZAR 900,000 - 1,600,000

Full time

10 days ago

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Benefits offered by this job

Twice-yearly salary increases
Guaranteed bonuses
Loyalty leave
Wellness programs
Commission incentives
Leadership support

Job summary

Entelect in South Africa is seeking a Senior Data Solutions Engineer to join a dynamic, multidisciplinary team. You will tackle complex data challenges across the analytics value chain, from source data and medallion architectures to reporting, dashboards, and AI-enabled solutions.

The role emphasizes collaboration with Solution Architects to design cloud, hybrid, and on-prem solutions, building scalable data pipelines, and mentoring colleagues, with a hybrid work model (2–3 days in office).

Qualifications

  • Bachelor's degree in IT, Engineering, or related field.
  • Minimum 6 years' experience as a data solutions engineer.
  • Proficiency in software engineering fundamentals and clean code.
  • Experience in delivering with a cross-functional delivery team.
  • Strong data modelling and data engineering understanding.
  • Knowledge of DataOps and MLOps concepts.

Responsibilities

  • Wrangle data from multiple sources into a reliable asset.
  • Collaborate with Solution Architects to design cloud/hybrid/on-prem solutions.
  • Design and implement data pipelines and advanced analytics using AI/ML.
  • Work across descriptive, diagnostic, predictive, prescriptive analytics.
  • Maintain data lineage and metadata effectively.
  • Mentor colleagues and foster a culture of excellence.

Skills

Data modelling
Data engineering
SQL
Python
Cloud
On-prem
DataOps
MLOps
Leadership
Communication

Education

Bachelor's degree in IT/Engineering

Tools

Power BI
Microsoft Fabric
Amazon QuickSight
Google Data Studio
Grafana

Job description

Exciting Opportunity for a Senior 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
  • We like to play to your individual strengths, but having a solid understanding of the entire data analytics value chain, from source data and medallion architectures, through to reporting, dashboarding, advanced analytics, and AI solutions, is advantageous.
  • Wrangling data from multiple sources into a reliable, evolving data asset.
  • Collaborating with Solution Architects to design and implement cloud, hybrid, and on-prem solutions.
  • Designing and implementing optimal data engineering pipelines and, if this is within your wheelhouse, delivering impactful advanced analytics using AI and ML/data science.
  • Working across descriptive, diagnostic, predictive, prescriptive, and cognitive analytics.
  • Understanding DataOps and MLOps to ensure continuous deployment in short cycles with maximum impact and high quality.
  • Maintaining data lineage and metadata effectively.
  • 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 bachelor's 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 solutions like Lakehouse, data mesh, and data fabric.
  • 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'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 Africa's most esteemed organisations.
Popular but not limited to:
  • Front-end tech: Power BI, Microsoft Fabric, Amazon Quicksight, Google Data Studio, Grafana
  • Languages: SQL, Python
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.
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