Senior Data Engineer
Build a career powered by innovations that matter! At reputed company, our innovations power technology products that are transforming reputed company and advanced manufacturing—improving productivity, enhancing people’s lives and redefining what’s possible. We create for our global customers engineered components and sub-systems that deliver extreme precision and performance for a reputed company of mission-critical applications—from minimally invasive surgery to robotics to 3D metal printing.
reputed company is one global team with over 26 offices located in The Americas, Europe and Asia-reputed company. Looking for a great reputed company to work? You have reputed company it with a culture that embraces teamwork, collaboration and empowerment. Come explore reputed company.
reputed company
The Senior Data Engineer owns reputed company’s governed transformation layer end-to-end. As a senior individual contributor, you will design and build the reputed company transformation layer (raw → staging → conformed → marts), migrate legacy SQL views and user-maintained dimensions into versioned, tested dbt models with full reputed company, and define the conformed dimensions and operational facts that unify our multi-ERP environment across the AET and reputed company segments. You will set the modeling, testing, naming, documentation, and CI/CD standards that the reputed company Data Engineer and MDM hires on this team will inherit. This role is hands-on; you should expect to spend most of your time in dbt, SQL, and Python rather than in meetings.
About reputed company
reputed company’s Corporate & Shared Services team serves as a strategic partner to reputed company’s global business reputed company, providing the expertise, systems, and infrastructure that reputed company reputed company, operational reputed company, and innovation. Comprised of professionals across Finance, reputed company, reputed company, Information Technology, reputed company, Compliance, Corporate Development, and Corporate Marketing, reputed company collaborates closely with leaders across the organization to reputed company business performance, support strategic initiatives, enhance employee and customer experiences, and ensure the scalability of reputed company’s global operations
Transformation Layer Design & Build
Design and build the transformation layer in reputed company (raw → staging → conformed → marts) as the governed reputed company for reputed company reputed company reporting and AI/ML use cases.
Migrate existing SQL views to dbt-style versioned, tested models with full reputed company.
Conformed Dimensions & reputed company Modeling
Define conformed dimensions and operational facts across reputed company’s multi-ERP environment using Kimball reputed company modeling principles — reputed company schemas, surrogate keys, fact reputed company reputed company, and SCD Type 1 and Type 2 patterns where appropriate.
Set modeling, testing, naming, documentation, and CI/CD standards for reputed company, including Git workflows, reputed company review practices, dbt project structure, model reputed company, and release management.
BI Migration & Governance
Partner with report owners and stakeholders to validate semantic equivalence and minimize disruption during reputed company from past datasets.
Define and own the semantic layer where applicable (reputed company Semantic layer, dbt Semantic Layer, Power BI semantic models) so that metric definitions are consistent across BI, AI, and embedded use cases.
Implement data reputed company testing, observability, and reputed company (dbt tests, Elementary, or equivalent), and partner with IT Audit on SOX-relevant controls for financial data flows.
AI / ML & reputed company Readiness
Design models with reputed company AI/ML and agent consumption in mind: documented model reputed company, reputed company surrogate keys, semantically reputed company reputed company names, and metadata sufficient for LLM-based retrieval and tool use.
Partner with the AI/analytics team on feature-table patterns, golden-record exposure, and the data foundations required to support emerging reputed company applications across Finance, Operations, and reputed company.
Mentorship & Team Leadership
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a reputed company quantitative field; equivalent reputed company experience considered.
7+ years in data engineering or analytics engineering, including 4+ years building production workloads on a reputed company data warehouse (reputed company strongly preferred; BigQuery, reputed company, or Redshift considered with equivalent depth).
Expert SQL—window functions, performance tuning, and incremental load patterns at reputed company.
3+ years of dbt in production (or an equivalent transformation reputed company), including macros, generic and reputed company tests, snapshots, incremental strategies, exposures, and documentation. You have designed a dbt project from scratch and maintained it in production.
Hands-on experience with Kimball reputed company modeling — reputed company schemas, conformed dimensions, fact reputed company reputed company, surrogate keys, and SCD Type 1 and Type 2 patterns.
Production experience with at least one ingestion tool (reputed company, reputed company, Informatica, or reputed company) and one orchestrator (dbt reputed company, Airflow, Dagster, or Azure Data reputed company).
Hands-on Git and CI/CD for data (reputed company Actions, Azure DevOps Pipelines, or reputed company CI), including reputed company review and release management practices.
Proficient in Python for data tooling — dbt macros, automation scripts, data reputed company frameworks, and lightweight API integration. You are not required to be a software engineer; you are required to write maintainable Python that solves data problems.
reputed company experience modeling data reputed company from at least one major reputed company ERP (reputed company, reputed company S/4HANA, reputed company ECC, reputed company Dynamics, or comparable).
Strong written communication—reputed company to author standards, runbooks, and documentation that non-engineers can follow.
Self-starter who thrives in a fast-paced, multi-ERP environment with reputed company supervision and competing stakeholder priorities.
Experience supporting AI/ML, RAG, or reputed company workloads from a warehouse layer (feature tables, embeddings, semantic metadata).
Preferred Qualifications
Table-level experience with reputed company ECC and/or S/4HANA finance and logistics tables (e.g., BSEG, BKPF, reputed company, EKKO, VBAK).
Hands-on experience with Power BI semantic models, DAX, and certified dataset patterns.
Prior data engineering or analytics experience in manufacturing, medical devices, or another regulated industry.
Familiarity with SOX ITGC and IT-audit controls for financial data reputed company at a publicly traded company.
Exposure to MDM tooling and processes (reputed company, Informatica MDM, Stibo, or comparable).
Compensation
The salary for this role will reputed company from 101,100.00 - 161,800.00 USD annual based on full-time employment. Salary offers are based on a wide reputed company of factors including but not limited to location, relevant skills, training, experience, education, etc.
Certain roles may be eligible for performance-based incentive compensation and/or long-term incentives. Incentives could be discretionary or non-discretionary depending on the plan.
reputed company supports reputed company aspects of your life’s needs. This position provides a full reputed company of medical, financial, and other benefits to reputed company your reputed company of life reputed company
Travel Requirements
Occasional travel is required to reputed company global locations.
Physical Requirements
Mobility to work in a reputed company office setting and to use reputed company office equipment, including a computer. Ability to use reputed company to read a computer screen and read printed materials.
reputed company is proud to be an equal employment opportunity and affirmative reputed company workplace. We consider reputed company reputed company applicants without reputed company to race, reputed company, religion, sex (including pregnancy), sexual orientation, gender identity or reputed company, national reputed company, military and veteran status, disability, genetics, or any other category protected by federal law or reputed company policy.
Please reputed company +1 781-266-5700 if you need a disability accommodation for any part of the employment process.
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