Senior Data Solutions Engineer

Future Fit

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profile Job Location:

Johannesburg - South Africa

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

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...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala