Qureos Mentor

Parser

<div>
 
 
 Senior Data Engineer
 
 
 
 
 
 
 
 Who is Parser?
 
 
 
 Technology alone does not create impact&mdash;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&rsquo; 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 &amp; 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&rsquo;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:
 
 
 <ul>
 <li>
 Build and maintain end-to-end
 
 data ingestion and ETL pipelines
 
 </li>
 <li>
 Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
 </li>
 <li>
 Develop production-quality Python services and data workflows
 </li>
 <li>
 Orchestrate pipelines using Kubernetes and workflow tools
 </li>
 <li>
 Apply clean architecture and strong engineering design patterns
 </li>
 <li>
 Design schemas and transformation layers for analytics and AI agents
 </li>
 <li>
 Prepare data for
 
 AI and RAG systems
 
 (chunking, embeddings, retrieval pipelines)
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring to the role:
 
 
 
 
 
 
 
 Essential Requirements:
 
 
 <ul>
 <li>
 6+ years of experience in Python
 </li>
 <li>
 3+ years of experience with Kubernetes-based workloads
 </li>
 <li>
 ETL/ELT pipeline Design and orchestration (Airflow, ADF, Databricks or similar)
 </li>
 <li>
 Hands on experience with RAG systems, Embeddings and Vector Databases.
 </li>
 <li>
 Experience with Azure cloud
 </li>
 <li>
 Experience with Data Warehouse Architectures, API and Database integrations
 </li>
 </ul>
 
 
 
 
 
 Desirable Requirements:
 
 
 <ul>
 <li>
 Experience with Snowflake and Oracle
 </li>
 <li>
 Kafka/Event hub streaming systems
 </li>
 <li>
 LLM evaluation, prompt engineering
 </li>
 <li>
 Experience building AI or Data Platforms.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 
 
 Only considering candidates based in
 
 Dubai or Abu Dhabi.
 
 
 
 Hybrid work model
 
 2-3 days
 
 at the office per week.
 
 
 
 
 
 
 You will receive:
 
 
 <ul>
 <li>
 The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
 </li>
 <li>
 The opportunity to be part of an amazing, multicultural community of tech experts.
 </li>
 <li>
 A highly competitive compensation package.
 </li>
 <li>
 A flexible and hybrid working environment.
 </li>
 <li>
 Employment Visa and Medical insurance.
 </li>
 </ul>
 
 
 
 
 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&rsquo;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
 
 
 
 
 
</div>

Senior Data Engineer

<div>
 
 
 Who is Parser?
 
 
 
 Technology alone does not create impact&mdash;the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations 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&rsquo; 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 &amp; 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&rsquo;d love to meet you
 
 .
 
 
 
 
 
 
 
 How will you impact?
 
 
 
 You&rsquo;ll be working at the intersection of data engineering and analytics. Where data engineers move and store data, you turn it into trusted, well-modelled, reusable data products. You&rsquo;ll build and own the governed reporting and semantic layer that underpins decision-making across one of our enterprise client's Engineering functions - designing data so that anyone can self-serve reliable
 
 
 answers.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Translate business problems into well-structured data models - conformed dimensions, facts and metric definitions - that become the single source of truth for a domain.
 
 
 &bull; Design, build and maintain transformation pipelines in dbt on Snowflake, orchestrated with Airflow, following clear layering. Ensure robust testing and monitoring.
 
 
 &bull; Create and own semantic layers and semantic models, so each metric is defined once and consumed consistently across BI tools, applications and AI agents.
 
 
 &bull; Partner directly with stakeholders to understand the decisions they&rsquo;re trying to make and shape the data products that let them self-serve.
 
 
 &bull; Make data consumable not only by people but by AI - building the clean models, governed metric definitions, documentation and data contracts that let LLMs and agents query data reliably and safely.
 
 
 &bull; Rationalise and migrate legacy reporting (bespoke SQL and logic embedded in dashboards or applications) onto the governed layer.
 
 
 
 
 
 
 Essential Requirements
 
 
 
 &bull; Excellent SQL, with strong data-modelling experience &mdash; dimensional / Kimball-style design: star schemas, facts and dimensions, and slowly-changing dimensions.
 
 
 &bull; Hands-on experience building and maintaining dbt models on Snowflake (sources, staging, marts, tests, documentation, exposures).
 
 
 &bull; Experience orchestrating data pipelines with Airflow (or a comparable workflow orchestrator).
 
 
 &bull; Experience creating semantic layers and semantic models (e.g. dbt Semantic Layer /MetricFlow, Cube, LookML, AtScale or similar), so metrics are defined once and reused.
 
 
 &bull; A track record of modelling data to enable self-service analytics for non-technical users.
 
 
 &bull; Experience designing data for consumption by AI / LLMs &mdash; clear semantic models, governed metric definitions, documentation and data contracts.
 
 
 &bull; Demonstrable use of AI tools in your day-to-day work (e.g. AI coding assistants and LLMs for SQL, modelling, testing and documentation).
 
 
 &bull; Strong testing, version control (Git) and CI/CD practice.
 
 
 
 
 
 
 Desirable Requirements
 
 
 
 &bull; Experience with BI tools (Tableau, Power BI) and migrating embedded BI logic into a governed layer.
 
 
 &bull; Experience serving data to web applications (e.g. via a serving database such as Aurora) and to AI agents (e.g. tool / function calling, retrieval over governed data, MCP).
 
 
 &bull; Familiarity with data cataloguing, lineage and governance.
 
 
 &bull; Exposure to AWS and modern cloud data tooling.
 
 
 
 
 <ul>
 <li>
 Location: Hybrid. Office located in London. (Hayes area).
 </li>
 <li>
 Frequency: 2-3 times a week at the office
 </li>
 </ul>
 
 
 
 
 
 Some of the benefits you'll enjoy working with us:
 
 
 <ul>
 <li>
 The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
 </li>
 <li>
 The opportunity to form part of an amazing, multicultural community of tech experts.
 </li>
 <li>
 A highly competitive compensation package.
 </li>
 <li>
 Medical insurance.
 </li>
 </ul>
 
 
 
 
 Come and join our #ParserCommunity
 
 
 Follow us on Linkedin
 
</div>

Senior Analytics Engineer

Join Parser and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Parser

About Company

Senior Data Engineer

Senior Analytics Engineer