Team Lead_Data Engineer

WELCOME TO MOYO

Team Lead Data Engineer

We are seeking an experienced Senior Data Engineer – Team Lead to join our team and drive innovation through data. This role combines advanced technical expertise in data engineering with leadership skills to guide and mentor a team in delivering impactful data solutions. The ideal candidate has a knack for data analysis, modelling, and transformation, and thrives in translating business needs into actionable technical strategies.

As a Team Lead, this role starts with pre‑execution phases to provide critical technical input. You will oversee a project team, ensuring successful execution, and deliver technical guidance to meet and exceed client expectations.

• Identify valuable data sources and automate collection processes.
• Perform pre‑processing of structured and unstructured data.
• Analyse large datasets to uncover trends, patterns, and actionable insights.
• Design, build, and develop relational and star‑schema data models.
• Architect, develop, and optimise data warehouses and database solutions.
• Implement ETL solutions using tools such as SSIS, Azure Data Factory, and SQL Server procedures.
• Develop and maintain real‑time analytics and batch processing frameworks.
• Utilise Big Data technologies such as Hadoop, Spark, and Kafka for distributed storage and processing.
• Implement cloud‑based analytical applications in environments such as AWS and Microsoft Azure.
• Collaborate with engineering and product development teams to deliver data‑driven solutions.

• Provide technical guidance and day‑to‑day mentoring to team members.
• Foster effective communication and collaboration to meet team objectives.
• Monitor project execution, ensuring adherence to quality standards and timelines.
• Identify and address technical and project risks proactively.
• Cultivate a culture of accountability, trust, and continuous improvement.
• Manage client expectations through consistent communication and effective issue resolution.

• Engage in pre‑execution phases of projects, providing valuable technical input and strategic guidance.
• Translate business requirements into technical strategies, ensuring alignment with client goals.
• Propose solutions and strategies to address business challenges using data insights.

• Perform database performance tuning and optimisation.
• Present information through data visualization tools such as Tableau or Power BI.
• Update database structures and maintain data quality processes.
• Research and implement emerging data engineering tools and methodologies.

• Tertiary degree, diploma, or certificate in a related field (e.g., BSc Computer Science, BIT, Informatics).
• DP‑203:
  Data Engineering on Microsoft Azure Certification.

• 5–7 years of experience as a Data Engineer or Database Developer.
• Expertise in data mining, large‑scale data modelling, and business requirements analysis.
• Proficiency in designing and implementing data integration and ETL solutions.
• Experience with Dimensional Modelling and/or Data Vault methodologies.
• Working knowledge of data quality processes and master data management.
• Familiarity with Big Data technologies (Hadoop, Spark) and event processing tools (Kafka, Event Hub).
• Proficiency in database languages (T‑SQL, ANSI SQL, PL/SQL).
• Experience with cloud‑based tools such as Azure SQL, Synapse, Data Lake, and Databricks.
• Additional skills in Tableau, Power BI, Python, R, Scala, and advanced mathematics are advantageous.

• Critical Thinking:
  Evaluate solutions logically to identify strengths and weaknesses.
• Systems Analysis:
  Understand how systems operate and how changes impact outcomes.
• Complex Problem Solving:
  Develop and implement solutions for intricate challenges.
• Technical Literacy:
  Assess how software solutions fit into organisational structures.
• Data Expertise:
  Strong understanding of database architecture, data integration, and analytics tools.

• Team Leadership:
  Guide and inspire teams to achieve goals while fostering a collaborative…