{"id":596372,"url":"https://alion.io/job/wolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp","title":"Data Analytics/Engineer (Python and MS Fabric exp)","company":{"id":2555,"name":"Wolters Kluwer","domain":"wolterskluwer.com","url":"https://alion.io/company/wolters-kluwer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":68,"ghost_share":0.015,"stale_share":0.676,"repost_share":0.029,"time_to_fill_p50_days":34,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":159},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"NLP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T18:21:19Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ghost","repost_count":3,"flags":["repost"],"days_open":54},"description":"Wolters Kluwer is a global leader in professional information services that combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve the way we do business, build better judicial and regulatory systems. We help them get it right.\nJOB QUALIFICATIONS\nEducation : Bachelor’s degree in data science/analytics or Engineering in Computer Science, or related quantitative field. Master’s degree preferred.\nExperience :\nAt least 5+ years of experience in the field of Data Analytics/Engineering.\nProven track record of leading data engineering initiatives or mentoring junior data engineers.\nTechnical Skills :\nArchitecting scalable data solutions across cloud platforms.\nAdvanced performance tuning and optimization of data pipelines.\nExperience with enterprise-level data governance frameworks.\nLeadership in CI/CD and DevOps practices for data engineering.\nMentorship experience or team leadership in agile environments.\nExperience with data pipeline tools (e.g., Apache Airflow, dbt, Azure Data Factory, Fabric, Informatica).\nProficient in SQL and Python/PySpark for complex data transformations and automation\nHands-on experience with cloud platforms (Fabric or AWS) and data warehouses (Snowflake or Synapse) for large-scale data integration and analysis\nFamiliarity with Microsoft Fabric and its integration within modern data ecosystems\nStrong understanding of data modelling, schema design, and performance tuning\nKnowledge of CI/CD pipelines and version control systems like Git\nSoft Skills :\nStrong analytical skills; capable of multi-tasking in fast-paced, dynamic environment\nStrong written and verbal communication, including report writing and data storytelling\nStay updated with industry trends and evolving tools; Demonstrate a proactive approach to learning new techniques and technologies\nWork effectively across cross-functional teams\nStrong stakeholder management and ability to translate business needs into technical solutions.\nExperience presenting technical concepts to non-technical audiences.\nProven ability to lead cross-functional initiatives and drive consensus.\nESSENTIAL DUTIES\nModel Development & Deployment:\nDevelop predictive models to forecast key sales and marketing metrics solve to complex business problems and drive strategic insights.\nLead the end-to-end lifecycle of data science projects, including data preparation, feature engineering, model development, validation, and deployment.\nLead and architect predictive modeling frameworks.\nReview and guide model development by junior team members.\nDesign and implement scalable analytics platforms.\nDrive strategic data initiatives in collaboration with finance and business leaders.\nData Analysis & Insights:\nAnalyze large, complex datasets from multiple sources to identify trends, patterns, and opportunities that inform decision-making.\nCollaborate with finance and accounting teams to automate reconciliations, variance analysis, and error detection using advanced analytics and machine learning.\nInnovation, Automation & Generative AI:\nLead initiatives leveraging Generative AI (GenAI) technologies to automate the generation of financial reports, narratives, and data summaries, enhancing efficiency and accuracy.\nLead GenAI strategy for data engineering and analytics automation.\nEvaluate and implement emerging technologies to enhance data workflows.\nExplore and implement GenAI applications to improve natural language processing (NLP) capabilities for extracting insights from unstructured financial documents (e.g., contracts, invoices).\nDrive the adoption of GenAI-powered chatbots or virtual assistants to support finance shared services teams with data queries, process guidance, and routine task automation.\nOTHER DUTIES\nSupport Data Infrastructure & Governance:\nLead efforts to design, optimize, and scale data infrastructure in Microsoft Fabric, defining clear data requirements and overseeing robust ETL/ELT processes.\nDrive data governance initiatives by implementing data quality frameworks, ensuring thorough documentation, and standardizing practices across teams to maintain data integrity.\nEnhance Reporting & Analytics Standards:\nCollaborate with analytics and BI teams to establish dashboard design standards, improve user experience, and ensure consistent KPI definitions across the organization.\nPromote a Data-Driven Culture:\nAdvocate for a data-driven culture, promoting the value of analytics in strategic and operational decision-making.\nLead or support analytical training sessions or workshops for non-technical stakeholders to improve data literacy across the organization.\nCross-Functional Collaboration:\nPartner with business, product, and operational teams to provide expert data engineering support, enabling effective data-driven solutions and innovation across departments.\nOur Interview Practices\nTo maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.\nApplicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.","description_format":"text","description_chars":5776,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["RegTech, AML & Compliance","Clinical Decision Support","Accounting & Tax Software","Legal Software"],"lifecycle":[{"event":"open","at":"2026-09-10T15:59:47Z"},{"event":"close","at":"2026-09-14T21:00:59Z"},{"event":"reopen","at":"2026-09-21T12:46:22Z"},{"event":"close","at":"2026-10-03T04:30:14Z"},{"event":"reopen","at":"2026-10-05T10:47:49Z"},{"event":"close","at":"2026-10-25T07:45:04Z"},{"event":"reopen","at":"2026-10-30T15:45:59Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.276,"p_room":0.36,"age_days":54,"expected_fill_days":34,"reasons":["conf:10","repost:3","stale_co","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/wolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp","json_url":"https://alion.io/job/wolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp.json","meta":{"generated_at":"2026-11-01T19:31:13Z","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":29928,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":2555},"rest":"https://alion.io/mcp/rest/get_company?id=2555"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp"},{"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%2Fwolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp"},{"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%2Fwolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp"},{"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/wolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwolters-kluwer-data-analyticsengineer-python-and-ms-fabric-exp"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":596372}},{"tool":"search_jobs","arguments":{"company":"wolterskluwer.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":596372},"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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