Job Description
Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Data Engineer to join our rapidly growing team.
At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations— people, processes, technology, and data. Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.
As a Data Engineer, you’ll play a pivotal role in designing, managing, and optimizing data infrastructure. You’ll work closely with Business Analysts and Data Analysts to transform complex data into actionable insights, driving meaningful and measurable outcomes for our clients.
Why Join Us
- Client-First Philosophy: We prioritize the goals of our clients, offering a fresh alternative to traditional consultancy approaches. No legacy-minded advice or pushy sales tactics—just honest, results-driven solutions.
- Technology Agnostic Excellence: We're not here to sell software. We help businesses maximize their existing technology investments and identify the most suitable new tools when necessary.
- Data-Driven Innovation: We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.
- Sustainable Client Growth: Our solutions aren’t just about solving today’s challenges— they’re about setting the foundation for tomorrow’s innovation and success.
- Career Advancement: Joining the business at this phase of growth provides opportunity for accelerated career development working closely with the founders.
What We're Looking For
We’re searching for passionate, forward-thinking, individuals committed to self-development, who thrive on solving complex problems, empowering businesses, and making a real difference.
At Tyde, you’ll have the chance to work on diverse projects, leverage cutting-edge technologies, and be part of a team that’s shaping the future of business transformation.
Key Responsibilities
- Data Pipeline Development: Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.
- Technical Customizations: Deploy technical customizations to pre-packaged software solutions.
- Micro-service and API Development: Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.
- Data Transformation: Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.
- Continuous Improvement: Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.
- Data Mapping: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
Involvement In
- Collecting Requirements from Clients: Identify and present key gaps and opportunities for business optimization from the client.
- Creating Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.
- Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.
- KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
