Description
Tyde Digital, a reputable business optimisation consultancy, is seeking a highly analytical and detail-oriented Data Engineer to join our fast-growing team. Tyde works with businesses across multiple industries, both locally and globally, to review and enhance all areas of their business (people, processes, technology and data) with a goal of enabling data driven insights and allowing them to make data driven decisions to achieve business goals and objectives.
In this role, you will be responsible for engineering solutions for extracting, managing, processing, and optimising data infrastructure and working closely with data analysts to analyse data to derive actionable insights.
We follow the approach of “best idea wins” approach here at Tyde and are looking for people who love what they do and are continuously upskilling and learning enabling them to find the best ideas and solutions for our clients. If you have a passion for designing and implementing systems and unravelling the stories hidden within the data, we invite you to apply to join our team.
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 optimisation from the client.
(Involvement in) Creating Data-Driven Insights: Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.
(Involvement in) Reporting and Visualization: Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.
(Involvement in) KPI Identification: Identify and present key performance indicators (KPIs) based on existing data points and datasets.
Requirements
Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
3+ years of experience in data engineering or a related role.
Proven experience in data engineering or a related role.
Proficiency in data pipeline development, including ETL processes.
Strong programming skills in languages such as Python, C#, or Java.
Experience in extracting applicable data from databases using SQL.
Experience in cloud computing platforms (AWS/GCP/Azure).
Experience with BI tools like Power BI, Tableau, or similar platforms.
Strong problem-solving abilities and attention to detail.
Ability to work collaboratively in a cross-functional team environment.
Knowledge of data governance and security best practices is a plus.
Excellent verbal and written communication skills.
A passion for constant improvement and learning.
Ideally, you will also have:
Excellent data visualization and communication skills.
Experience with Power Platform Development applications.
Experience with custom SharePoint applications and workflows (Shell).
Working at Tyde:
Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless
Tackle fast-paced, challenging and unique projects
AED12k to AED15k salary per month and additional benefits (health insurance, annual leave, visa etc)
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