Data Engineer

Tyde Digital; United Arab Emirates; On-site; AED 183,000 - 258,000; Full time

Job summary

A business optimization consultancy in the United Arab Emirates is seeking a Data Engineer to design and implement efficient data pipelines and work closely with analysts to transform data into actionable insights. Ideal candidates will have a Bachelor's degree and 2+ years of experience in data engineering, along with proficiency in tools like SQL, Power BI, and cloud platforms. This role promises career growth opportunities and a collaborative work culture.

Benefits

Career advancement opportunities

Direct impact on company culture

Travel opportunities for client engagement

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, or equivalent experience.
• 2+ years of experience in data engineering or a related role.
• Proficiency in data pipeline development, including ETL processes.
• Strong programming skills in Python, C#, or Java.
• Experience extracting data from databases using SQL.
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience with BI tools like Power BI or Tableau.
• Excellent verbal and written communication skills.

Responsibilities

• Design and implement scalable, efficient data pipelines.
• Develop micro-services and APIs for data integration.
• Perform data transformation activities using various tools.
• Identify and present key performance indicators from existing data sets.
• Develop reporting tools using BI technologies.

Skills

Data pipeline development

Problem-solving

Analytical skills

Attention to detail

Programming in Python

Collaboration skills

Education

Bachelor’s degree in Computer Science, Data Science, or IT

Tools

Power BI

Tableau

AWS

GCP

Azure

SQL

Job description

About Tyde Digital

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 and work closely with Business Analysts and Data Analysts to transform complex data into actionable insights, driving measurable outcomes for our clients.

Who We’re Looking For

Tyde Digital is home to problem-solvers, innovators, and strategic thinkers. If you’re passionate about business transformation, thrive in a collaborative setting, and are driven by results, you’ll fit right in.

Non-Negotiable Traits

• Adaptability in a fast-moving environment
• Proactive problem-solving mindset
• Strong analytical and data-driven decision-making skills
• Meticulous attention to detail
• Commitment to delivering exceptional value to clients
• True passion and pride in the work we deliver

Key Responsibilities

• Design and implement scalable, efficient data pipelines to ensure seamless data flow across multiple endpoints.
• Deploy technical customizations to pre-packaged software solutions.
• Develop micro-services and APIs to facilitate data transfer and integration between systems.
• Perform data transformation activities, including cleansing, mining, and processing, using a variety of technologies and tools.
• Collaborate with cross-functional teams to drive continuous improvement based on data-driven findings.
• Identify and present key performance indicators (KPIs) from existing data sets.
• Design and implement end-to-end data-driven solutions tailored to business requirements, integrating tools, platforms, and custom logic.
• Collect requirements from clients, identifying gaps and opportunities for business optimization.
• Provide valuable data-driven insights to support strategic decision-making.
• Develop reporting tools using BI technologies such as Power BI, Tableau, and QlikView.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or equivalent experience.
• 2+ years of experience in data engineering or a related role.
• Proficiency in data pipeline development, including ETL processes.
• Strong programming skills in Python, C#, or Java.
• Experience extracting data from databases using SQL.
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience with BI tools like Power BI or Tableau.
• Strong problem-solving abilities and attention to detail.
• Collaboration skills in a cross-functional team environment.
• Knowledge of data governance and security best practices (plus).
• Excellent verbal and written communication skills.
• Experience with Power Platform Development applications.
• Experience with custom SharePoint applications and workflows.

Benefits

• Career advancement opportunities in a rapidly growing company.
• Direct impact on company culture, operations, and strategic direction.
• Client-first philosophy with honest, results-driven solutions.
• Technology-agnostic excellence without pushy sales tactics.
• Sustainable client growth focus for long-term success.
• Free travel opportunities across multiple geographies for client engagement and internal collaboration.