Senior Data Engineer / Databricks Developer (DQX & Clinical Data)
Design and implement a scalable Data Quality Monitoring framework using DQX on Databricks for clinical data domains. Build data pipelines, create dashboards, and establish data governance across Study Personnel & Milestones. Must have strong Databricks, Spark, SQL, Python, and Delta Lake experience with clinical data background.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Data Engineer / Databricks Developer (DQX & Clinical Data)
Remote | International Project
About the Rol
eWe are looking for a Senior Data Engineer / Databricks Developer to join an international, fully remote project focused on building a DQX-based Data Quality Monitoring solution within a clinical (pharma/hospital) environment
.This role will play a key part in designing and implementing a scalable framework that allows business users and data owners to monitor, understand, and proactively manage data quality across critical clinical data domains
.
Project Overvi
ewThe objective is to develop a Databricks-native Data Quality Monitoring capability leveraging DQX t
- o:Enable business users to monitor data quality via dashboards and tren
- dsEstablish a clear link between data input, usage, and business-critical rul
- esAllow data owners to define and enforce data quality standar
- dsProvide transparency into data quality performance over ti
- meIdentify recurring issues and critical data poin
tsThe initial scope focuses on Clinical Study Management (Study Personnel & Milestones), with a roadmap to scale across additional clinical domain
s.
Key Responsibilit
- iesDesign and implement a Data Quality Monitoring framework using DQX on Databri
- cksDevelop and configure data quality ru
- lesBuild scalable data pipelines (ETL/ELT) and data mod
- elsCreate dashboards and reporting layers for business us
- ersEnsure linkage between data quality rules, business usage, and critical data eleme
- ntsDocument technical architecture, rule logic, and governance mo
- delSupport scaling across additional clinical data doma
- insCollaborate with both technical teams and business stakehold
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ers
Must-Have Sk
- illsStrong hands-on experience with Databr
- icksExpertise in Spark, SQL, Python, and Delta
- LakeProven experience designing and implementing data pipelines (ETL/
- ELT)Experience with data quality frameworks (DQX is mandat
- ory)Solid understanding of data governance and data owner
- shipExperience translating business requirements into technical solut
- ionsExperience working in complex enterprise environm
- ents✅ Fluent English (mandat
- ory)✅ Mandatory experience with clinical data (pharma, clinical trials, or hospital environme
nts)
Nice-to-Have S
- killsExperience in regulated or compliance-heavy environ
- mentsKnowledge of clinical operations / trial data / life sci
- encesExperience with dashboarding and data quality repo
- rtingFamiliarity with Azure DevOps /
- CI-CDExperience with APIs, integrations, and downstream sy
- stemsKnowledge of Snow
- flakeExperience with Veeva or similar clinical sy
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stems
Tech Stack / Ke
ywordsDatabricks · DQX · Spark · SQL · Python · Delta Lake · ETL/ELT · Data Pipelines · Azure · Azure DevOps · Snowflake · Data Governance · Data Engineering · Cloud · Bi
g Data
Profile We’re Look
- ing ForSenior, self-driven professional with an end-to-end ownership
- mindsetStrong analytical and problem-solving
- skillsComfortable working in dynamic, evolving envir
- onmentsAbility to communicate effectively with both technical and business au
- diencesProactive, structured, and solution-oriented
mindset
What
- We Offer🌍 100% Remote international
- project📈 Opportunity to shape a scalable, enterprise-grade data quality
- solution🤝 Collaboration with global stakeholders in a clinical/life sciences env
- ironment🚀 High-impact role with visibility and o
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