{"id":3699742,"url":"https://alion.io/job/bertelsmann-data-engineer","title":"Data Engineer","company":{"id":20910,"name":"Bertelsmann","domain":"bertelsmann.com","url":"https://alion.io/company/bertelsmann","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":99,"open_postings":34,"ghost_share":0,"stale_share":0.029,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"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":{"min":60000,"max":75000,"currency":"GBP","period":"year","gross":null,"usd_annual":100623},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Looker","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"GDPR","optional":true}],"status":"live","first_seen_at":"2026-09-19T02:00:00Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-11-06T18:04:37Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Job Description\nWe have a new opportunity for an experienced Data Engineer to join us on a permanent basis in London. This role is offered with hybrid working (more details shared below).\nJoining the Penguin Data Engineering team and working closely with DK (Dorling Kindersley), you’ll help to shape and improve how data is accessed, understood and used across both businesses.\nYou’ll be part of the PRH Data Centre of Excellence, a collaborative team that sets shared standards, provides peer support and helps our business areas get the best from their data.\nIn this role, you’ll work closely with colleagues across DK and PRH, including Technology, Data and Analytics, Commercial Insights, Finance, Operations and Production, Online Marketplace, and Sales teams.\nThe role\nAs Data Engineer, you’ll design, build and maintain reliable, secure and reusable data pipelines, models and automation for DK. You’ll help to make trusted data available for reporting, analytics and operational workflows, essentially making it easier for DK teams to access, understand and use data confidently.\nReporting to the Head of Data Engineering, you’ll work with tools and platforms such as Snowflake, Python, SQL, dbt, Fivetran, Power BI, Microsoft Fabric, GitHub and cloud services. You’ll also support strong data governance, documentation, monitoring and service quality. This role would suit someone who enjoys solving practical data problems, working with both technical and non-technical colleagues, and building solutions that are robust, scalable and genuinely useful.\nWhat you’ll be doing\nKey responsibilities:\nBuild and manage data pipelines so that data can move reliably between systems and be used for reporting, analytics and day to day operations.\nMaintain DK’s Snowflake data environment, including data models, schemas, performance, and data quality controls.\nBring together data from different internal and external sources and make sure it is secure, accessible and aligned with PRH data standards.\nAutomate manual data and reporting processes using cloud tools, GitHub and other services to improve efficiency and reliability.\nManage CI/CD processes for data solutions, making sure development is properly tested, documented and moved between environments safely.\nSupport BI and reporting needs, working with analysts and stakeholders on dashboards, reports and tools such as Power BI and Microsoft Fabric.\nCreate clear documentation including technical notes, data definitions and service transition materials.\nSupport testing, incident resolution and performance monitoring for DK data solutions.\nLead technical conversations and reviews, sharing best practice across data engineering, automation, data modelling and BI.\nKeep improving DK’s data infrastructure by staying current with tools and identifying better ways of working.\nWork closely with Data Governance, making sure monitoring, alerting and metadata are kept up to date,\nWhat you’ll bring\nEssential criteria:\nStrong experience in data engineering, business intelligence development or data platform engineering, with a proven track record of designing, building and supporting scalable data integration solutions.\nStrong knowledge of Snowflake and other cloud data platforms, including schema design, data modelling, secure access and performance management.\nExcellent SQL skills, ideally within Snowflake, including data extraction, transformation, analysis, performance optimisation and working with large, structured datasets.\nStrong Python skills for data processing, automation and integration, with the ability to build maintainable, well documented solutions.\nPractical experience of building and managing data pipelines using ETL or ELT frameworks, with knowledge of tools such as dbt, Fivetran or similar.\nUnderstanding of BI data modelling and reporting tools, such as Power BI, Microsoft Fabric or Looker, including how to structure data for reporting and self-service analytics.\nExperience working with technical and non-technical stakeholders to understand requirements, translate business needs into data solutions, and support the accurate use of data across an organisation.\nA good understanding of data governance, data quality, privacy and compliance considerations, with an appreciation of how these apply to reliable and responsible data use.\nFamiliarity with cloud services, deployment practices or CI/CD pipelines, such as GitHub Actions or similar, would be helpful.\nYou’ll be collaborative and inclusive, able to build trusted relationships across DK, PRH, technical teams, analysts and business stakeholders.\nYou’ll take ownership of problems and follow through to delivery, balancing pace with quality, security and long term maintainability.\nDesirable criteria:\nSome experience of mentoring colleagues, contributing to technical design discussions or reviewing the work of other data professionals would be beneficial.\nApplication instructions\nPlease apply with your CV by 23:59 on Sunday 15th November 2026.\nDisability Confident\nAs a Disability Confident Committed organisation, we offer interviews to candidates with a disability who meet the essential criteria for the role, and opt-in on their application form. The essential criteria for this role are listed as part of the ‘What you’ll bring’ section.\nThere may be times when the volume of applications means we cannot take all eligible candidates to interview. We encourage you to tell us about any reasonable adjustments you may need by emailing . Remember, you only need to share what you are comfortable with, for us to support your request.\nAI\nHere at Penguin, we believe in the power of authenticity and human creativity. When you apply for a position, we want to encourage you to showcase your unique voice. Throughout our recruitment process, please share your own thoughts, experiences, and skills. This helps us get a true sense of who you are and what you might bring to our team.\nWe celebrate creativity and diverse perspectives, so please be yourself! While we recognise AI tools can be helpful, we recommend using them thoughtfully to ensure your responses reflect you.\nSalary\nThe salary for this opportunity is £60,000-£75,000 depending on how your skills and experience align to the role, plus a generous bonus scheme and benefits.\nHybrid working\nWhile our offices across the UK are places to connect, collaborate and celebrate with colleagues, we recognise that flexibility around where you work is just as important.\nFor this role we expect that you will work from our head office in Embassy Gardens, London a minimum of 2 days per week (with additional days for team meetings, townhalls etc as required).\nAdditional Information\nDisclosure requirements pertaining to the collection of your personal data:\nResponsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.\nThe retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.\nYou can contact the company’s Data Protection Officer at the above-mentioned postal address.\nFurther information on data protection and your rights can be found here.\nRecruiting-Platform powered by SmartRecruiters.","description_format":"text","description_chars":7546,"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":["Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","TV Production","Music Industry","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-11-03T19:06:42Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.499,"p_room":0.28,"age_days":48,"expected_fill_days":24,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":100623,"is_top_pay":false},"html_url":"https://alion.io/job/bertelsmann-data-engineer","json_url":"https://alion.io/job/bertelsmann-data-engineer.json","meta":{"generated_at":"2026-11-06T21:05:53Z","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":1035,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":20910},"rest":"https://alion.io/mcp/rest/get_company?id=20910"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbertelsmann-data-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%2Fbertelsmann-data-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%2Fbertelsmann-data-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/bertelsmann-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbertelsmann-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3699742}},{"tool":"search_jobs","arguments":{"company":"bertelsmann.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3699742},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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