Senior Data Engineer

Senior Data Engineer

Who is Parser?

Technology alone does not create impact—the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organizations solve complex business challenges through digital transformation, product development and AI enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.

We work as an extension of our clients’ teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value.

Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we’d love to meet you.

How You'll Make an Impact?

As a Senior Data Engineer you will be participating in the design and build of the next generation of AI-driven data products and intelligence platforms. As a Python-strong, AI-aware Data Engineer, you'll lead the design and development of data ingestion, ETL, and multi-agent analytical systems by creating scalable schemas and transformation layers that power analytics and AI agents across the UAE and beyond.

Your key responsibilities:

• Build and maintain end-to-end data ingestion and ETL pipelines
• Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
• Develop production-quality Python services and data workflows
• Orchestrate pipelines using Kubernetes and workflow tools
• Apply clean architecture and strong engineering design patterns
• Design schemas and transformation layers for analytics and AI agents
• Prepare data for AI and RAG systems (chunking, embeddings, retrieval pipelines)

What you’ll bring to the role:

Essential Requirements:

• 6+ years of experience in Python
• 3+ years of experience with Kubernetes-based workloads
• ETL/ELT pipeline Design and orchestration (Airflow, ADF, Databricks or similar)
• Hands on experience with RAG systems, Embeddings and Vector Databases.
• Experience with Azure cloud
• Experience with Data Warehouse Architectures, API and Database integrations

Desirable Requirements:

• Experience with Snowflake and Oracle
• Kafka/Event hub streaming systems
• LLM evaluation, prompt engineering
• Experience building AI or Data Platforms.

Location:

Only considering candidates based in Dubai or Abu Dhabi.

Hybrid work model 2-3 days at the office per week.

You will receive:

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to be part of an amazing, multicultural community of tech experts.
• A highly competitive compensation package.
• A flexible and hybrid working environment.
• Employment Visa and Medical insurance.

Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.

If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.

By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser’s Privacy Notice for recruitment purposes.

Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.

Come and join our #ParserCommunity.

https://parserdigital.com/

Follow us on Linkedin