WhoisParser?
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.
WhyJoinUs?
Ifyouarelookingforaplacewhereyoucanthinkbeyondexecution,taketrueownershipofoutcomes,influencedecisions,andcontinuouslylearnalongsidetop-tierspecialistsinatrulyglobalenvironment,we’dlovetomeetyou.
Howwillyouimpact?
You’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’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 reliableanswers.
KeyResponsibilities
- 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.
- Createandownsemanticlayersandsemanticmodels,soeachmetricisdefinedonceandconsumedconsistentlyacrossBItools,applicationsandAIagents.
- 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 and logic embedded in dashboards or applications) onto the governed layer.
EssentialRequirements
- 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, 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.
DesirableRequirements
- 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:Hybrid.OfficelocatedinLondon.(Hayesarea).
- Frequency:2-3timesaweekattheoffice
Someofthebenefitsyou'llenjoyworkingwithus:
- Thechancetojoinanorganizationwithtriple-digitgrowththatischangingtheparadigmonhowsoftwareproductsarebuilt.
- Theopportunitytoformpartofanamazing,multiculturalcommunityoftechexperts.
- Ahighlycompetitivecompensationpackage.
- Medicalinsurance.
