{"id":2119340,"url":"https://alion.io/job/beauty-pie-data-analytics-engineer","title":"Data Analytics Engineer","company":{"id":1868682,"name":"Beauty Pie","domain":"beautypie.com","url":"https://alion.io/company/beautypie","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":166000,"period":"year","method":"role_country_seniority_unknown","sample_n":159},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-09-17T09:23:54Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-15T17:20:27Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"As Data Analytics Engineer at Beauty Pie, you will be responsible for designing, developing, and maintaining robust data pipelines and analytics solutions that empower stakeholders to self-serve where possible. You will collaborate closely with data analysts and business stakeholders to ensure the availability and accuracy of data needed for decision-making. Your expertise in data engineering, analytics, and software development will be crucial in driving our data strategy forward.Beauty Pie is a subscription-based e-commerce retailer, and we have recently migrated our storefront to Shopify. This is an exciting time to join! You will play a key role in building out and maturing our data platform within the Shopify ecosystem, integrating data from Shopify and its surrounding ecosystem of tools and platforms.\nWe move fast, but deliberately. We'd rather pilot something quickly and learn from it than spend weeks perfecting a plan. If you thrive in an environment where priorities shift, new ideas are tested rapidly, and you're trusted to use your judgement, you'll fit right in.\nWe are an AI-first team. We actively use AI tools such as Claude Code to accelerate our development workflow, and we expect you to embrace AI-assisted development as a core part of how you work. Equally important is your ability to be the human in the loop by critically reviewing AI-generated output, applying sound engineering judgement, and knowing when to trust vs challenge.\nResponsabilidades\nDesign, build, and maintain scalable data pipelines to support various data analytics and self-serve needs.\nDevelop and implement ELT (Extract, Load, Transform) processes to integrate data from multiple sources into our data warehouse.\nEnsure data quality, consistency, and reliability through rigorous testing and validation procedures.\nCollaborate with analysts to understand data requirements and deliver actionable insights.\nOptimise and tune SQL queries and database performance to handle large volumes of data efficiently.\nCreate and maintain documentation related to data architecture, processes, and workflows.\nBuild observability into data pipelines and models from the outset including monitoring, alerting, logging, and data quality checks so issues are detected early rather than reported by stakeholders.\nDrive continuous improvement by proactively identifying bottlenecks, suggesting and implementing process changes, and automating repetitive tasks to help the team move faster and more efficiently.\nStay up-to-date with emerging technologies and best practices in data engineering and analytics.\nWork closely with cross-functional teams to align data initiatives with business goals and objectives.\nContribute to technical discussions and decisions, analysing challenging problems and proposing well-reasoned solutions.\nSupport and guide less experienced team members, sharing knowledge and helping to raise standards across the team.\nRequisitos\nSolid experience in data engineering, analytics engineering, or a related role.\nDepth of subject matter expertise in at least one area of the data stack, with a good working knowledge across the rest.\nPassionate about helping stakeholders to solve business problems\nStrong SQL and data transformation knowledge\nExperience with dbt or similar data modelling frameworks\nSolid Python skills\nExperience with Snowflake or similar cloud data warehouses (Databricks, BigQuery)\nGood understanding of data warehousing concepts such as Kimball, Inmon or Data Vault\nExperience with data visualisation tools e.g. Looker, Lightdash or Tableau\nPractical experience with data ops practices (CI/CD, testing, orchestration, observability)\nAbility to communicate concepts clearly to both technical and non-technical audiences\nExperience with infrastructure as code (Terraform) is a plus\nExperience with workflow orchestration tools such as Airflow is a plus\nExperience with event-driven data architectures and real-time analytics is a plus\nExperience working with Shopify or e-commerce data is a plus\nStrong communication and collaboration skills, with the ability to influence others and work effectively across teams.\nOur tech stack:\nCloud: AWS\nInfrastructure as Code: Terraform\nOrchestration: Airflow (MWAA)\nData Warehouse: Snowflake\nData Modelling: DBT \nData Ingestion: DLT (Data Load Tool)\nLanguage: Python\nBeneficios\nHybrid working with 3 days in the office in central London \nFree membership to Beauty Pie+ and additional percentage off our products\n25 days holiday & your birthday off \nFlexible bank holidays\nEqual leave for all new parents regardless of gender or personal circumstances\nHealth & WellbeingPrivate Medical Insurance \nMenopause support\n£2,500 / $2,500 to spend on your fertility journey after 2 years of service \n10 therapy sessions through AXA PPP\nAccess to mental health support through Spill\nApply now for a chance to be part of an inspirational, international and talented team. Beauty Pie is an equal opportunity employer. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, pregnancy or trade union membership","description_format":"text","description_chars":5252,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance","Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Consumer Goods","Skincare"],"lifecycle":[{"event":"open","at":"2026-10-08T23:52:57Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; Global Business Mobility: Senior or Specialist Worker","cap_exempt":false,"checked_at":"2026-10-15T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.602,"p_room":0.55,"age_days":27,"expected_fill_days":21,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/beauty-pie-data-analytics-engineer","json_url":"https://alion.io/job/beauty-pie-data-analytics-engineer.json","meta":{"generated_at":"2026-10-15T21:01:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31893,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1868682},"rest":"https://alion.io/mcp/rest/get_company?id=1868682"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbeauty-pie-data-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbeauty-pie-data-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbeauty-pie-data-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/beauty-pie-data-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbeauty-pie-data-analytics-engineer"}]}