Lead Fabric Data Engineer Job at Randstad (Athens)

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and ...

Location

United Kingdom

Salary:

45000.00 - 60000.00 GBP / Year

Activate Group Limited

Expiration Date

Until further notice

Requirements

Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs

Job Responsibility

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required

What we offer

33 days holiday (including bank holidays)
Personal health cash plan – claim back the cost of things like dentist and optical check ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody

Fulltime

Senior Data Engineer

We are currently looking for a Data Engineer to join our client’s forward-thinki...

Location

United Kingdom , London

Salary:

70000.00 - 75000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Proven experience leading data engineering initiatives in a cloud environment
Expertise in Azure Synapse Analytics (SQL pools, Spark, pipelines, serverless SQL)
Hands-on experience with Microsoft Fabric (OneLake, Lakehouse, Data Engineering/Data Science workloads)
Strong SQL skills (T-SQL, Synapse SQL, Lakehouse SQL)
Experience with Python and/or Spark for big data processing
Knowledge of cloud data architecture (ADLS Gen2, Delta Lake, Parquet)
Understanding of data governance, security, and compliance standards

Job Responsibility

Lead and mentor internal and external data engineering teams to deliver best-in-class cloud solutions
Design, build, and optimise enterprise data platforms using Azure Synapse, Microsoft Fabric, OneLake, and lakehouse architectures
Modernise traditional ETL/ELT processes and transition workloads to cloud-native tools
Develop scalable data pipelines, Spark-based processing, and dataflows for unified analytics
Implement governance, security, and compliance standards across all cloud data environments
Collaborate with stakeholders to support high-value analytics and Power BI initiatives
Produce documentation, technical designs, and support materials to enable continuous improvement

What we offer

Competitive salary
Strong benefits package
Hybrid working model
Opportunity to own and shape a modern cloud data ecosystem
Continuous training and professional development in Microsoft Fabric, Azure, and modern data engineering
Clear path for career progression within a growing data organisation
Supportive, innovative, and people-focused working environment

Fulltime

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of professional experience in the Data & Analytics area
1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues

Job Responsibility

Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
Develop and execute a cloud data strategy aligned with organizational goals
Lead data integration efforts, including ETL processes, to ensure seamless data flow
Implement security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Establish and enforce data governance and quality standards
Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Work with cross-functional teams to understand requirements and provide data solutions
Maintain comprehensive documentation for data architecture and solutions
Mentor junior team members in cloud data architecture best practices

What we offer

Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support

Senior Data Engineer

At Blue Margin, we are on a mission to build the go-to data platform for PE-back...

Location

United States , Fort Collins

Salary:

110000.00 - 140000.00 USD / Year

Blue Margin

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
5+ years of professional experience in data engineering, with emphasis on Python & PySpark/Apache Spark
Proven ability to manage large datasets and optimize for speed, scalability, and reliability
Strong SQL skills and understanding of relational and distributed data systems
Experience with Azure Data Factory, Synapse Pipelines, Fivetran, Delta Lake, Microsoft Fabric, or Snowflake
Knowledge of data modeling, orchestration, and Delta/Parquet file management best practices
Familiarity with CI/CD, version control, and DevOps practices for data pipelines
Experience leveraging AI-assisted tools to accelerate engineering workflows
Strong communication skills
ability to convey complex technical details to both engineers and business stakeholders

Job Responsibility

Architect, design, and optimize large-scale data pipelines using tools like PySpark, SparkSQL, Delta Lake, and cloud-native tools
Drive efficiency in incremental/delta data loading, partitioning, and performance tuning
Lead implementations across Azure Synapse, Microsoft Fabric, and/or Snowflake environments
Collaborate with stakeholders and analysts to translate business needs into scalable data solutions
Evaluate and incorporate AI/automation to improve development speed, testing, and data quality
Oversee and mentor junior data engineers, establishing coding standards and best practices
Ensure high standards for data quality, security, and governance
Participate in solution design for client engagements, balancing technical depth with practical outcomes

What we offer

Competitive pay
strong benefits
flexible hybrid work setup

Fulltime

Technical Leader - Data Engineering

The position involves leading a team of Data Engineers and Developers, managing ...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Knowledge of Microsoft Azure and/or Google Cloud environments, particularly in the field of AI & Data solutions
Experience in building ETL/ELT processes
Knowledge of cloud services in the field of Data Engineering (Microsoft Fabric / Databrics / Snowflake)
Programming skills and knowledge of SQL / Python
Presales skills, i.e. preparing preliminary PoCs and presenting them to customers
Knowledge of English at B2+ level

Job Responsibility

Lead end-to-end delivery for multi-team engagements, converting strategy into executable roadmaps with clear milestones, risk controls, and timely decisions
Build high-performing teams through coaching and firm standards
resolve conflicts early and develop successors to mitigate key-person risk
Serve as a trusted client counterpart- facilitate outcome-oriented workshops, align stakeholders, negotiate scope/change, and maintain a value-prioritized backlog
Drive commercial outcomes by shaping proposals/SOWs, producing defensible estimates, tracking margin/utilization/forecast accuracy and identifying compliant, value-accretive expansions
Provide architectural leadership and governance, documenting trade-offs and aligning with security, compliance, cost, and operability
Lead team of Data Engineers and Developers
Technical verification of Candidates

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect

Senior Vice President, Data & Analytics Engineering

BHSI is seeking a visionary leader to join their Boston based Technology team in...

Location

United States , Boston

Salary:

315000.00 - 365000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

At least 15 years of experience managing technology teams
Minimum of 5 years in data engineering leadership roles
Proven experience leading data engineering functions in complex, fast-paced environments, ideally within regulated industries such as insurance or financial services
Deep technical expertise in data architecture, data platforms (e.g., Snowflake, Databricks, Fabric), and cloud technologies (e.g., AWS, Azure, GCP), and data engineering best practices
Extensive knowledge of modern data frameworks, ETL/ELT, data modeling, and analytics enablement
Strong leadership, communication, and collaboration skills across engineering teams and business stakeholders
A passion for mentoring technical talent and fostering a high-performance culture
Ability to see the big picture and align data engineering with long-term business strategies and provide guidance and education on data capabilities
Expertise in systems thinking to optimize interdependencies across business units, platforms, and technologies
Experience implementing data governance, data quality, and master data management programs

Job Responsibility

Define and execute our data platform strategy, vision, and roadmap, aligning business and technology goals to support BHSI’s growth and operational excellence
Partner with technology and business functions to modernize our data ecosystem, influence data quality, and enable advanced analytics and Artificial Intelligence capabilities
Collaborate with Enterprise Architecture, Cybersecurity, and Infrastructure teams to ensure data platforms are secure, efficient, and compliant
Ensure our solutions are well-architected and engineered and deliver unified, scalable data platforms supporting structured, semi-structured, and unstructured data
Lead the evolution and modernization of aging data platforms, streamline data ingestion and transformation, and enable self-service business intelligence and analytics for business users
Drive adoption of cloud-native architectures, DevSecOps, and modern engineering practices in all data platforms and data solutions
Establish and enforce data engineering standards, governance, and best practices to ensure data integrity, security, and compliance
In partnership with key business stakeholders (e.g., Chief Data Officer, Data Stewards), champion data quality management, metadata, lineage, and master data management capabilities
Enable advanced analytics, machine learning, and AI capabilities through robust data engineering solutions and modern data platforms
Partner with business stakeholders to deliver actionable insights, dashboards, and visualizations that drive exceptional business outcomes

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Associate Director - Data Engineering

In this vital role you will manage and oversee the development of robust Data Ar...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree and 14 to 16 years of computer science and engineering preferred, other Engineering fields will be considered
Bachelor’s degree and 15 to 18 years of computer science and engineering preferred, other Engineering fields will be considered
Diploma and 18 to 20 years of computer science and engineering preferred, other Engineering fields will be considered
10+ years of experience in Data Engineering, working in COE development or product building
5+ years of experience in leading enterprise scale data engineering solution development.
Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh
Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
Hands-on experience using Databricks, Snowflake, PySpark, Python, SQL
Proven ability to lead and develop high-performing data engineering teams.
Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.

Job Responsibility

Oversee the architecture, design, and implementation of scalable, high-performance Modern Data Engineering solutions (applications) that include data analysis, data ingestion, storage, data transformation (data pipelines), and analytics.
Evaluate the new trends in data engineering area and build rapid prototypes
Build Data Solution Architectures and Frameworks to accelerate the Data Engineering processes
Build frameworks to improve the re-usability, reduce the development time and cost of data management & governance
Integrate AI into data Engineering practices to bring efficiency through automation
Build and nurture strong relationships with stakeholders, emphasizing value-focused engagement and partnership to align data initiatives with broader business goals.
Lead and motivate a high-performing data engineering team to deliver exceptional results.
Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
Collaborate with counterparts in US and EU and work with business functions, functional IT teams, and others to understand their data needs and ensure the solutions meet the requirements.
Engage with business stakeholders to understand their needs and priorities, ensuring that data and analytics solutions built deliver real value and meet business objectives.

What we offer

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

Fulltime

Lead Fabric Data Engineer

Randstad

Location:
Greece , Athens

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 01, 2026

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

Similar Jobs for Lead Fabric Data Engineer

Data Engineering & Analytics Lead

Senior Data Engineer

Senior Data Engineer

Senior Azure Data Engineer

Senior Data Engineer

Technical Leader - Data Engineering

Senior Vice President, Data & Analytics Engineering

Associate Director - Data Engineering

Lead Fabric Data Engineer

Randstad

Location:Greece , Athens

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:March 01, 2026

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

Similar Jobs for Lead Fabric Data Engineer

Data Engineering & Analytics Lead

Senior Data Engineer

Senior Data Engineer

Senior Azure Data Engineer

Senior Data Engineer

Technical Leader - Data Engineering

Senior Vice President, Data & Analytics Engineering

Associate Director - Data Engineering

Location:
Greece , Athens

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 01, 2026