Data Engineering Tech Lead – Azure Databricks Job at Lingaro

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

100000.00 - 115000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
Experience building trusted advisor relationships with senior client stakeholders within the public sector.
Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
Experience working directly with customers and users within a technology consultancy

Job Responsibility

Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Remote Working
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

Data Lake Azure Databricks Architect

VERY MODERN COOL POSITION WHERE YOU WILL REARCHITECT ENTIRE DATA ARCHITECT. REAR...

Location

United States , Des Moines

Salary:

175000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Technical experience and architecture expertise, preferably in developing MODERN DATA LAKE solution
Ability to tackle & creatively solve complex technical issues
Solutioning and ability to Present DATA ENGINEERING SOLUTIONS
Strong ability to Talk “Tech”, translate externally
Data AZURE LAKE Development experience
Azure
DATABRICKS experience is a MUST
Python experience is a MUST
Data engineering experience
ETL experience

Job Responsibility

Influence Technology direction, DATA ARCHITECTURE technology decisions, and architecture decisions
Be a GO-TO person in terms of Solutioning, working across the Enterprise, on data AZURE solutions
Technical Leadership and Solutioning
Leading & mentoring tech staff

What we offer

12% Bonus
Early Out Fridays

Fulltime

Director, Data Engineering & Analytics

We are seeking a Director, Data Engineering & Analytics to be a hands-on, indivi...

Location

United States

Salary:

220000.00 - 235000.00 USD / Year

Apogee Therapeutics

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data platform, or analytics roles, with meaningful experience owning or leading a modern cloud data platform (Data Lakehouse or cloud data warehouse)
Bachelor’s degree (or equivalent professional experience) in Life Sciences, Information Systems, Engineering, or related field
Proven track record as a hands-on senior level individual contributor
Experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or similar) and modern data stack components
Strong expertise in data modeling and ETL/ELT for analytics and reporting
Experience working closely with integration teams (ideally with MuleSoft or similar)
Prior experience in biotech / pharma / life sciences is strongly preferred, especially supporting Clinical Development, Clinical Operations, Biometrics, or Medical Monitoring
Familiarity with data from CROs and clinical systems (e.g., EDC, CTMS, safety, lab, statistical outputs)
Experience working in regulated environments (e.g., GxP, 21 CFR Part 11, HIPAA) and supporting audit/inspection readiness is highly desirable
Exposure to Apogee-relevant systems is a plus (e.g., Veeva Vault applications, Egnyte GxP repositories, SAS server, NetSuite)

Job Responsibility

Serve as the primary owner of Apogee’s Data Lakehouse architecture, roadmap, and implementation
Define the data platform to support Clinical Development and Clinical Operations, with a clear path to extend to Technical Operations, Commercial, Medical Affairs, and Finance
Design and oversee data ingestion, transformation, and storage for structured and semi-structured data from key Apogee sources
Establish and maintain subject area data models and semantic layers tailored to clinical and operational use cases
Ensure the platform is designed and operated in alignment with Apogee’s GxP, 21 CFR Part 11, SOX Controls, and other regulatory/compliance expectations
Design, build, and maintain end-to-end data pipelines (ingestion, transformation, curation) into the Data Lakehouse
Develop and maintain data models that serve Clinical Development, Clinical Operations, and later Tech Ops and Commercial / Med Affairs / Finance
Implement data quality, lineage, and metadata practices
Contribute to defining data governance at Apogee
Design and build dashboards / analytic views that support key functional area use cases

What we offer

Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits
Competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave
Commitment to growing you professionally and providing access to resources to further your development
Apogee offers regular all team, in-person meetings to build relationships and problem solve

Fulltime

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Turkey , Istanbul

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Hybrid Work (home/office)
Sick Days
Sport/Insurance Compensation
Holidays Day Off
English Classes
Training Compensation
Transportation compensation

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Engineering Manager

Amgen is seeking an experienced Engineering Manager to lead our Search and Knowl...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Software Engineering, or a related technical field with 8-13 years of software development experience OR Bachelor’s degree in Computer Science, Software Engineering, or a related technical field with 9-14 years of software development experience
8+ years of experience in software engineering, with 2–3 years in a leadership or managerial role
Strong expertise in search technologies (Elasticsearch, Solr, Lucene, Vespa, or similar)
Experience with NLP and ML frameworks
Strong background in data platform technologies (e.g., Spark, Kafka, Snowflake, Delta Lake, Hadoop, datbroicks, MongoDb, DynamoDb, S3 Buckets)
Experience with cloud infrastructure (AWS, Azure, or GCP), CI/CD, and containerization (Docker, Kubernetes)
Knowledge of distributed systems and large-scale data platforms (Spark, Hadoop, or cloud-native equivalents)
Strong programming skills (Python, Java, or Scala)
Strong understanding of software development principles, cloud platforms (AWS/Azure/GCP), and modern tech stacks (e.g., Java, Python, Angular, React)
Excellent communication, leadership, and problem-solving skills

Job Responsibility

Oversee the design and development of a modern, cloud-native data platform (e.g., using AWS/GCP/Azure, Snowflake, Databricks)
Oversee the design and implementation of scalable search solutions across biomedical literature, clinical trial data and internal knowledge repositories
Drive improvements in ranking, query understanding, entity extraction, and semantic search tailored to biomedical and life sciences content
Integrate AI/ML/NLP techniques for biomedical ontologies, knowledge graphs, and semantic enrichment
Ensure robust data pipelines, data lakes, and real-time streaming systems are in place for research, commercial, and clinical data
Partner with research scientists, clinical teams, data science, and IT stakeholders to define requirements and deliver impactful search solutions
Collaborate with data governance and compliance teams to ensure search systems adhere to healthcare regulations (HIPAA, GxP, FAIR data principles)
Work closely with product managers and UX teams to ensure intuitive, high-value search experiences
Implement data security best practices across platform layers
Partner with data governance teams to enforce metadata management, lineage tracking, and data access controls

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

AI Tech Lead

Addepto is a leading AI consulting and data engineering company that builds scal...

Location

Poland , Warsaw; Cracow; Wroclaw; Bialystok

Salary:

19320.00 - 28560.00 PLN / Month

Addepto sp. z o.o.

Expiration Date

Until further notice

Requirements

6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams
Proficiency in developing ML algorithms from scratch to production deployment
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)
Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)
High proficiency in English (C1 level)
Excellent communication skills and consulting experience with direct interaction with clients
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)
Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Job Responsibility

Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives
Lead the design of AI solution architectures that meet complex business goals and drive innovation
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills
Understand clients’ needs and translate business problems into data science problems
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery

What we offer

Work in a supportive team of passionate enthusiasts of AI & Big Data
Engage with top-tier global enterprises and cutting-edge startups on international projects
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications
Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off
Participate in team-building events and utilize the integration budget
Celebrate work anniversaries, birthdays, and milestones
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
Get full work equipment for optimal productivity, including a laptop and other necessary devices
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups

Fulltime

Data Engineering Tech Lead – Azure Databricks

Lingaro

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 03, 2026

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