Data Engineer Role

HEMOdata; Dubai; On-site; AED 60,000 - 80,000; Full time

Job summary

A leading data solutions consultancy in Dubai is seeking a Data Engineer with 0–3 years of experience in data engineering. The role involves supporting data pipelines, building integrations, and collaborating on machine learning projects. The ideal candidate holds a Bachelor’s degree in a related field and has solid SQL and basic Python skills. A competitive package and generous vacation policy are offered.

Benefits

Competitive Package

Generous Vacation Policy

Enhanced Parental Leave

Volunteer Time Off

Awesome team culture

Qualifications

• 0–3 years of experience in data engineering or analytics.
• Solid SQL skills and understanding of relational databases.
• Basic proficiency in Python for data manipulation.

Responsibilities

• Assist in building and maintaining reliable ETL/ELT pipelines.
• Support development of data warehouses and analytical layers.
• Design logical and physical data models for efficient reporting.

Skills

SQL

Python

Data analysis

Cloud services (AWS)

Education

Bachelor’s degree in Computer Science or related field

Tools

Matillion

Databricks

Redshift

Job description

About HEMOdata

HEMOdata is a Data Solutions Consultancy helping organisations across the Middle East, Africa and South East Asia to elevate their data strategy, ensure compliance and supercharge data utilisation with our expertise in integrating a "best in breed" technology ecosystem. Based in Dubai and established in May 2022, we have experienced rapid growth since our inception. We already support some of the biggest brands in the Middle East and the demand now requires a new Data Governance & Strategy Consultant to further expand across the region.

Our Services include:

• Data Compliance Services
• Data Governance Implementation and Operations
• Analytics and Data Services
• Data tools Implementation and Support Services
• BI, Data Science & Data Engineering "As-A-Service"
• Strategic Advisory Services

About the Role

• We’re looking for a Data Engineer (2–5 years’ experience) who is passionate about working with data, learning new technologies, and contributing to real-world data platforms.
• You’ll support the design, development, and optimisation of scalable data pipelines, build integrations across cloud systems, and learn how raw data becomes business insight.
• You’ll also have the opportunity to work on projects that connect to machine learning and predictive analytics pipelines, helping transform business data into intelligent decisions.

Key Responsibilities

• Data Pipelines: Assist in building and maintaining reliable ETL/ELT pipelines using tools such as Matillion, or Databricks.
• Data Warehousing: Support development and maintenance of Redshift-based data warehouses and related analytical layers.
• Data Modelling: Help design logical and physical data models that make reporting faster and more meaningful.
• Data Integration: Work with APIs, databases, and flat files to consolidate and prepare data from multiple sources.
• Automation & Scripting: Write SQL queries and Python scripts to clean, transform, and validate data.
• Performance & Monitoring: Learn to monitor pipeline health and identify opportunities for optimisation using DataOps practices.
• Collaboration: Partner with senior engineers, analysts, and data scientists on data-driven solutions and machine learning pipeline preparation.
• Continuous Learning: Stay curious—participate in code reviews, internal workshops, and mentorship sessions to deepen your technical foundation.

Required Skills & Experience

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field
• 0–3 years of experience in data engineering, analytics, or related technical work
• Solid SQL skills and an understanding of relational databases
• Basic proficiency in Python for data manipulation or automation
• Familiarity with AWS (S3, Redshift, Glue) or another major cloud platform
• Interest in data pipeline orchestration tools (e.g., Matillion)
• Strong analytical mindset, attention to detail, and willingness to learn
• Excellent communication and teamwork skills in a remote environment

Nice to Have

• Exposure to CI/CD practices or version control (Git)
• Understanding of data warehousing concepts and dimensional modelling
• Familiarity with machine learning workflows or interest in developing skills in this area
• Cloud or data engineering certifications (e.g., AWS Certified Data Engineer Associate, Azure Data Fundamentals)

About You

• You’re passionate about working with data and see yourself growing into a senior data or ML engineer role.
• You’re curious, resourceful, and enjoy solving data-related problems.
• You’re comfortable experimenting with new technologies and learning from mentors.
• You take pride in clean, reliable data and understand that detail matters.
• You thrive in a collaborative, supportive, and remote-first culture.

Benefits and Perks

• Competitive Package
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Awesome team culture

Cultural Values

• Curiosity: Not being afraid to take chances in a new direction regarding new ideas
• Honesty: When knowledge becomes open, we can come together as a team to collaborate around a shared purpose
• Integrity: Our customers’ success is our success
• Respect: Everyone at HEMOdata has the capacity to make an impact on the business
• Teamwork: We can’t win without each other
• Accountability: Driving results in a measurable way ensures we stay focused on the highest impact initiatives

Why choose HEMOdata?

A clear market leader in the product data & analytics space, HEMOdata has grown from 0 - 50 customers in the first 3 years. Our ambitious, collaborative team makes it possible by finding creative solutions to new challenges with scaling, reliability, design, and customer service.

HEMOdata is an equal opportunity employer supporting workforce diversity. We actively encourage people of all backgrounds to apply. We have a passion for culture and believe that if you love what you do then our customers will love working with us. We have a very close team and open door policy. We have an obsession for customer satisfaction and building a work environment where we all grow and progress together.