CrawlJobs Logo

Lead Data Engineer

life-science-talent-solutions.dk Logo

Life Science Talent

Location Icon

Location:
Denmark , København og omegn

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We're building the expert intelligence layer for scientific research: a knowledge graph that connects the world to leading experts based on publications & clinical trials in precise ontologies. You'll design pipelines that ingest millions of life-science records, shaping a graph of how scientific knowledge is modelled, enriched, & served. This is true green-fields work. Your decisions will lay the data foundations for our entire expert intelligence platform.

Job Responsibility:

  • Own data end-to-end, design & run data pipelines turning millions of scientific records into a knowledge graph
  • Implement precision entity resolution & enrichment, disambiguate & enrich experts from noisy data sources
  • Utilise LLM workflows where it makes sense, for entity extraction, relationship inference & quality validation
  • Develop vector embeddings & semantic search capabilities to power expert discovery & similarity matching
  • Model life-science entities & relationships, ontologies, author networks, publication & clinical trial metadata
  • Build graph & vector data access, performant, accessible, reliable, observable & testable data access
  • Move fast & ship value incrementally, done-and-iterating beats perfect-and-pending
  • Radiate intent & document your thinking openly, collaborating async-first in a hybrid environment
  • Lead when you're the expert, follow when someone else is, challenging assumptions when necessary
  • Use AI as a daily force multiplier across coding, schema design, debugging, optimisation & validation

Requirements:

  • Graph Databases: Neo4j, ArangoDB, Neptune
  • schema design, relationship modelling, query optimisation
  • Python Data Engineering: ETL development
  • pandas/polars
  • distributed processing with Spark or Dask
  • Entity Resolution: Deduplication, merging, enrichment across heterogeneous scientific data sources
  • AI-Assisted Data Extraction: LLM entity extraction, schema generation & quality validation
  • Vector Search: Experience with Pinecone, FAISS, Qdrant, or Weaviate
  • embeddings, hybrid retrieval
  • Workflow Orchestration: Robust, observable pipelines using Airflow or Dagster
  • Data Formats & Standards: Parquet, JSONL, RDF/Turtle
  • selecting formats for graph & semantic use cases
  • Embedding Models: Understanding of HuggingFace/OpenAI models, dimensionality tradeoffs & cost
  • Ownership mindset: Treat data & schemas as products powering multiple domains
  • Strategic evaluation: Choose tech aligned with our scale, latency expectations, & roadmap needs
  • Process engineering: Build reliable, repeatable & maintainable workflows
  • Cross-functional communication: Bridge product engineers & scientific domain teams
  • Comfort with scientific data realities: Deep rabbit holes of sprawling complexity

Nice to have:

  • Life Sciences familiarity: Publication, clinical trial, institutional, ontologies (MeSH, SNOMED, Gene Ontology)
  • Hands-on with scientific datasets: OpenAlex, PubMed/MEDLINE, ORCID, Semantic Scholar, ClinicalTrials.gov

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Life Science Talent - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Lead Data Engineer

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Location
Location
Uzbekistan , Tashkent
Salary
Salary:
Not provided
ventionteams.com Logo
Vention
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in data engineering, including leading teams
  • Strong experience with Python and SQL
  • Solid knowledge of Apache Airflow, Kafka, Big Query, and AWS/Azure
  • Strong experience with ETL processes, data warehousing, and stream processing
  • Leadership skills with proven ability to mentor and grow engineering teams
  • Experience working in an Agile environment (Scrum, Kanban, etc.)
  • B2+ English, with experience communicating with English-speaking customers
Job Responsibility
Job Responsibility
  • Guide a team of data engineers in building and optimizing data pipelines
  • Oversee architecture for data ingestion, transformation, and storage with Big Query and SQL, ensuring high performance and reliability
  • Collaborate with product managers and clients to define data strategies and resolve complex technical challenges
  • Stay up-to-date with the latest cloud data technologies and industry best practices, bringing innovation to our data ecosystem
What we offer
What we offer
  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Expanded medical support for employees in Tashkent
  • 19 working days of vacation per year, 21 after two years in the company
  • Corporate getaway & teambuilding activities
  • Support for the significant events in your life
  • Referral bonuses for bringing in new talent
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Embark on an exciting journey into the realm of software product development wit...
Location
Location
India , Noida
Salary
Salary:
Not provided
3pillarglobal.com Logo
3Pillar Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Demonstrated expertise with a minimum of 8 years of relevant experience in data engineering with experience of leading and managing a technical support or data engineering team
  • Ability to function as a player-coach — leading while also contributing hands-on
  • Proficiency in Python for data engineering, ETL/ELT workflows, and automation tasks
  • Solid understanding of data governance, security, and performance optimization practices
  • Experience designing, creating and maintaining data pipelines in AWS environments, with strong exposure to AWS Data services like S3, Glue, Lambda, and Step Functions, and other related services
  • Data Architecture: Expert-level understanding of ETL, data warehouse design, and pipeline optimization
  • Database Expertise: Deep experience with Teradata, Change Data Capture (CDC) processes, and data synchronization
  • Integration: Experience with Lambda-based integrations, such as triggering SAS or RMJ events
  • Strong communication skills and ability to translate complex technical concepts for business stakeholders
  • Resilience: Ability to make critical, autonomous decisions and lead a team in a high-pressure environment
Job Responsibility
Job Responsibility
  • Team Management: Manage the on-site team of 3-4 Data Engineers
  • Roster & Scheduling: Create, manage, and maintain team rosters and schedules to ensure full 8-hour coverage, 7 days a week, including rotational weekend and holiday coverage
  • Availability: Must be able to work a day shift and manage a team that provides 7-day-a-week coverage, including weekends and holidays on rotation
  • Coverage Assurance: Handle all team leave requests (planned and unplanned). You are responsible for ensuring coverage is always maintained, especially during medical or other unexpected absences
  • Performance & SLAs: Act as the primary operational point of contact, ensuring the team executes all tasks efficiently, makes sound decisions, and adheres to all agreed-upon SLAs
  • Final Escalation Point: Serve as the final technical escalation point for the team
  • personally handle the most critical job failures and system issues
  • Expert RCA: Lead all high-priority Root Cause Analysis (RCA) efforts, documenting solutions and implementing permanent fixes to prevent recurrence
  • Strategic Improvement: Drive the team's efforts in performance tuning and AWS Glue cost optimization
  • Automation Strategy: Define and lead the development of new automation jobs (using Glue, Lambda, and Step Functions) to reduce manual support tasks
  • Fulltime
Read More
Arrow Right

Data Engineering Lead

Embark on an exciting journey into the realm of software product development wit...
Location
Location
India
Salary
Salary:
Not provided
3pillarglobal.com Logo
3Pillar Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in Data Engineering or related field, including 2+ years in a lead role
  • Expert-level proficiency with AWS data services (e.g., Glue, EMR, Lambda, Redshift, S3, Kinesis, Step Functions)
  • Strong Python skills for data processing, automation, and pipeline development
  • Experience building batch and streaming pipelines (Spark, PySpark, Kafka, Kinesis, etc.)
  • Strong SQL expertise and experience with relational and NoSQL databases
  • Hands-on experience with IaC (Terraform, CloudFormation, CDK)
  • Familiarity with DevOps tools for CI/CD (e.g., GitHub Actions, GitLab CI, Jenkins)
  • Understanding of data modeling, data warehousing concepts, and distributed systems
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

We're looking for a Lead Data Engineer to build the data infrastructure that pow...
Location
Location
United States
Salary
Salary:
185000.00 - 225000.00 USD / Year
zora.co Logo
Zora
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in data engineering, with at least 2 years in a technical leadership role
  • Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
  • Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
  • Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
  • Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
  • Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
  • Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
  • Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design
Job Responsibility
Job Responsibility
  • Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
  • Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
  • Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
  • Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
  • Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
  • Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
  • Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
  • Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
  • Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes
What we offer
What we offer
  • Remote-First Culture: Work from anywhere in the world!
  • Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives
  • Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees
  • Retirement Contributions: Up to 4% employer match on your 401(k) contributions
  • Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate
  • Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness
  • Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable)
  • Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery
  • Career Development: Access to mentorship, training, and opportunities to grow your career
  • Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Sparteo is an independent suite of AI-powered advertising technologies built on ...
Location
Location
Salary
Salary:
Not provided
corporate.sparteo.com Logo
Sparteo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficiency in distributed data systems
  • Proficient in clustering, various table types, and data types
  • Strong understanding of materialized views concepts
  • Skilled in designing table sorting keys
  • Solid programming skills in Python, Java, or Scala
  • Expertise in database technologies (SQL, NoSQL)
  • You are comfortable using AI-assisted development tools (e.g., GitHub Copilot, Tabnine)
  • Proven experience leading data teams in fast-paced environments
  • Ability to mentor junior engineers and foster a culture of growth and collaboration
  • Data-driven decision-making abilities aligned with Sparteo's focus on results and improvement
Job Responsibility
Job Responsibility
  • Data Infrastructure Design and Optimization
  • Lead the design, implementation, and optimization of data architectures to support massive data pipelines
  • Ensure the scalability, security, and performance of the data infrastructure
  • Collaborate with software and data scientists to integrate AI-driven models into data workflows
  • Leadership and Team Management
  • Manage and mentor a team of 2 data engineers, fostering a culture of continuous improvement
  • Oversee project execution and delegate responsibilities within the team
  • Guide technical decisions and promote best practices in data engineering
  • Collaboration and Cross-Functional Engagement
  • Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives
What we offer
What we offer
  • A convivial and flexible working environment, with our telecommuting culture integrated into the company's organization
  • A friendly and small-sized team that you can find in our offices near Lille or in Paris
  • Social gatherings and company events organized throughout the year
  • Sparteo is experiencing significant growth both in terms of business and workforce, especially internationally
  • Additional benefits include an advantageous compensation system with non-taxable and non-mandatory overtime hours, as well as a Swile restaurant ticket card
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
rearc.io Logo
Rearc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in data engineering, data architecture, or related fields
  • Extensive experience in writing and testing Java and/or Python
  • Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue
  • Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask
  • Proficiency with Spark and Databricks is highly desirable
  • Proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions
  • Hands-on experience with ETL processes, data warehousing, and data modeling tools
  • In-depth knowledge of data integration tools and best practices
  • Strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
  • Strong strategic and analytical skills
Job Responsibility
Job Responsibility
  • Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges
  • Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures
  • Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery
  • Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field
  • Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation
Read More
Arrow Right

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...
Location
Location
United States
Salary
Salary:
Not provided
rearc.io Logo
Rearc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in data engineering, data architecture, or related technical fields
  • Proven ability to design, build, and optimize large-scale data ecosystems
  • Strong track record of leading complex data engineering initiatives
  • Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
  • Extensive experience with data integration frameworks and best practices
  • Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
  • Strong strategic and analytical thinking
  • Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
  • Exceptional communication and interpersonal skills
Job Responsibility
Job Responsibility
  • Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
  • Translate stakeholder needs into scalable, high-quality data solutions
  • Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
  • Build reliable, automated, and efficient data pipelines and architectures
  • Lead and execute complex projects
  • Provide technical direction and set engineering standards
  • Ensure alignment with customer goals and company principles
  • Mentor and develop data engineers
  • Promote knowledge sharing and thought leadership
  • Contribute to internal and external content
What we offer
What we offer
  • Comprehensive health benefits
  • Generous time away and flexible PTO
  • Maternity and paternity leave
  • Access to educational resources with reimbursement for continued learning
  • 401(k) plan with company contribution
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Poland Jobs Ireland Jobs Germany Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy