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Data & Analytics Engineering role at Parser
About 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 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’ 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 Will You Impact?
You’ll be working at the intersection of data engineering and analytics. While data engineers move and store data, you’ll turn it into trusted, well-modelled, reusable data products.
You’ll build and own the governed reporting and semantic layer that underpins decision-making across one of our enterprise clients’ Engineering functions—designing data so that anyone can self-serve reliable answers.
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Key Responsibilities
- Translate business problems into well-structured data models—conformed dimensions, facts, and metric definitions—that become the single source of truth for a domain.
- Design, build, and maintain transformation pipelines in dbt on Snowflake, orchestrated with Airflow, following clear layering. Ensure robust testing and monitoring.
- Create and own semantic layers and semantic models, so each metric is defined once and consumed consistently across BI tools, applications, and AI agents.
- Partner directly with stakeholders to understand the decisions they’re trying to make and shape the data products that let them self-serve.
- 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.
- Rationalise and migrate legacy reporting (bespoke SQL logic embedded in dashboards or applications) onto the governed layer.
Essential Requirements
- Excellent SQL, with strong data-modelling experience—dimensional/Kimball-style design: star schemas, facts and dimensions, and slowly-changing dimensions.
- Hands-on experience building and maintaining dbt models on Snowflake (sources, staging, marts, tests, documentation, exposures).
- Experience orchestrating data pipelines with Airflow (or a comparable workflow orchestrator).
- 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.
- A track record of modelling data to enable self-service analytics for non-technical users.
- Experience designing data for consumption by AI/LLMs—clear semantic models, a governed metric definitions, documentation, and data contracts.
- Demonstrable use of AI tools in your day-to-day work (e.g. AI coding assistants and LLMs for SQL, modelling, testing, and documentation).
- Strong testing, version control (Git), and CI/CD practice.
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Desirable Requirements
- Experience with BI tools (Tableau, Power BI) and migrating embedded BI logic into a governed layer.
- 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).
- Familiarity with data cataloguing, lineage, and governance.
- Exposure to AWS and modern cloud data tooling.
Location & Work Arrangement
- Location: Hybrid
- Office: London (Hayes area)
- On-site frequency: 2–3 times a week
Some Benefits of Joining Us
- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to form part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- Medical insurance for you and your family (eligible plans).
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