Lead Fabric Data Engineer Job at Randstad (Athens)

Data Engineer - Fabric Pipelines / Orchestration

We are currently seeking a Data Engineer - Fabric Pipelines / Orchestration to j...

Location

India , Delhi

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8–10 years of hands-on data engineering experience
Strong understanding of Apache Spark and its core concepts
Proficiency in Scala and/or Java — code-first approach required
Advanced SQL skills
Experience with Azure Synapse
Working knowledge of GitHub for source control
Experience with data warehousing and large-scale data integration
Must be a hands-on builder
Must be available to mobilize immediately.

Job Responsibility

Migrate Spark Job Definitions from Synapse to Fabric (32)
Build Fabric Pipelines
Set up Data Orchestration
Design, develop, and maintain data pipelines using Scala and SQL on Apache Spark
Monitor and support Phase 1 pipelines post go-live
Investigate and remediate pipeline failures, data quality issues, and performance bottlenecks
Lead refactoring and cleanup of existing Phase 1 code
Optimize existing solutions for performance and scalability
Build and contribute to reusable patterns and automation frameworks
Work within TCCC’s metadata-driven architecture

Fulltime

Lead, Data Engineer

The Lead Data Engineer provides technical leadership for the design, development...

Location

Canada , Vancouver

Salary:

120000.00 - 140000.00 USD / Year

Canfor

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Mathematics, or Statistics
7–10+ years of experience in enterprise data warehousing, analytics, and data platform engineering
7+ years of demonstrated experience designing and delivering data engineering, ELT, and streaming solutions, including technical leadership across complex initiatives
Proven track record designing and evolving scalable, secure, and cost-effective cloud data architectures in an enterprise environment
Proven experience in database design, data schema design and data modeling
Experience defining and governing enterprise data architecture standards, engineering frameworks, and reference patterns
Experience delivering ETL/ELT solutions for importing data from a wide variety of sources
Experience working with Microsoft Fabric or Azure Products: Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure Purview, Azure DevOps, etc.
Experience designing and building cloud data architecture to facilitate data pipelines and analysis workflows within a cloud environment (preferably Microsoft Fabric)
Experience with Enterprise Resource Planning systems (preferably Oracle) is an asset

Job Responsibility

Lead the design and implementation of batch, real-time, and streaming data pipelines in Microsoft Fabric, while establishing engineering standards, reusable patterns, and delivery best practices
Design and build event-driven and near real-time data processing solutions that enable reliable, scalable data movement
Own the evolution of the data platform, including scalability, reliability, observability, resiliency, and cost optimization
Enable data platforms that support AI/ML and Generative AI use cases
Establish data observability, monitoring, and data quality SLAs to ensure trusted, resilient data solutions across the analytics platform
Establish and enforce processes and controls that maintain the security, quality, accountability, availability, and compliance of enterprise data assets
Partner with business and IT leaders to shape roadmaps, lead delivery planning, manage technical tradeoffs, and execute projects within time and budget constraints
Establish and maintain architecture, engineering, operational, and support documentation standards for the data platform
Translate business requirements into scalable data platform designs and guide solution implementation to support analytics and reporting delivery
Partner with analytics and data science teams to operationalize advanced analytics solutions

What we offer

performance-based incentive plans
recognition programs
benefits
paid leaves
pension plans with base and matching contributions
savings options
robust health & well-being initiatives

Fulltime

Data Engineer – Lead

Location

India , Bengaluru Urban

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Pipelines, Dataflows Gen2, Notebooks, and Power BI integration
Expertise in ETL/ELT, data pipelines, distributed data processing, and cloud-scale data engineering
Strong SQL, Python, PySpark, and data modeling skills
Experience with Lakehouse, Warehouse, and Medallion Architecture
Understanding of Delta tables, dimensional modeling, star schema, facts, dimensions, and curated analytical datasets
Experience integrating structured, semi-structured, file-based, API-based, enterprise application, and cloud data sources
Experience with data quality, reconciliation, logging, monitoring, and error-handling frameworks
Experience leading technical teams and coordinating onshore/offshore delivery
Experience with Git, CI/CD, Azure DevOps, branching, code reviews, and release management
Good to Have: Experience with Azure Data Factory, Synapse, Databricks, ADLS Gen2, Azure SQL, Microsoft Purview, or related Azure services

Job Responsibility

Lead the design and implementation of scalable data pipelines and data processing frameworks in Microsoft Fabric
Define data engineering standards, development practices, naming conventions, coding guidelines, and reusable technical patterns
Lead implementation of Bronze, Silver, and Gold layers in the Medallion Architecture
Oversee ingestion, transformation, orchestration, validation, and publication of data from multiple enterprise, clinical, operational, and cloud-based sources
Guide development of Fabric Pipelines, Dataflows Gen2, Notebooks, Lakehouse tables, Warehouse objects, and curated datasets
Ensure scalability, performance, reliability, maintainability, security, monitoring, and optimization of data solutions
Define standards for data quality, reconciliation, logging, error handling, auditability, and lineage
Conduct technical design reviews, code reviews, performance reviews, and deployment readiness reviews
Mentor and guide data engineering teams across onshore/offshore locations
Collaborate with architects, platform engineers, BI teams, QA teams, AI/ML teams, functional consultants, and stakeholders

Lead Data Engineer

Lead on the delivery and maintenance of SEPA’s data platform and data products, ...

Location

United Kingdom

Salary:

57119.00 - 63102.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Degree in a relevant discipline or equivalent experience
Proven strong communication, teamwork and leadership skills, with a track record of mentoring colleagues, defining data engineering standards and delivering successful data engineering projects
Comprehensive knowledge of common data architectures and modelling (warehousing, data lake, medallion, data mesh, 3NF, dimensional / Kimball)
Significant experience with the Azure stack (Fabric, Databricks, Power BI, Synapse, Delta Lake, PySpark / SparkSQL, SQL DW, Purview, Log Analytics, EntraID)
Proven experience with agile delivery and DevOps practices (IaC, testing, monitoring, version control)

Job Responsibility

Collaborate with data customers, subject matter experts and data architects to deliver data sources, integrated datasets, and data & analytics services
Drive the development, testing and maintenance of data pipelines, warehouses, lakes, semantic models and reports
Implement security and access controls for data at rest and in motion
Define and apply engineering standards, quality assurance and agile practices in all delivery
Provide guidance to the team and promote adherence to best practices

What we offer

Hybrid and Flexible working opportunities
Up to 35 days annual leave and 7 additional public holidays each year (pro rata)
Paid time off to support your Wellbeing and enable you to Volunteer in your community
Local Government Pension Scheme (LGPS)
Progressive Family Friendly policies
Training & development to enable colleagues to improve their skills, competencies and knowledge to perform at their best
24/7 access to an online employee discount platform
credit union facilities
access to a Cycle to Work Scheme

Fulltime

Team Lead - Data Engineer

Looking for stable projects with modern tech and room to grow? We are Clouds on ...

Location

Poland , Warsaw

Salary:

Not provided

Clouds on Mars Sp. z o. o.

Expiration Date

Until further notice

Requirements

5+ years of experience delivering data engineering solutions in a consulting or multi-client project environment
Strong technical expertise with the Microsoft Azure ecosystem (Data Factory, Synapse, Fabric), Databricks, and Power BI
Solid background in ETL/ELT design, data integration, data modeling, and performance optimization
Proven people management experience, including performance evaluation, coaching, and career development
Excellent communication skills and ability to engage with both technical and business stakeholders
Fluency in English and Polish

Job Responsibility

Design and deliver scalable ETL/ELT pipelines, data models, and reporting solutions using technologies such as Azure Data Factory, Synapse, Fabric, Databricks, and Power BI
Architect modern data platforms (data warehouse, data lake, or lakehouse) with performance, scalability, and reliability in mind
Collaborate with technical stakeholders to translate business requirements into robust, production-ready data solutions
Contribute to CI/CD processes, code quality standards, automated testing, and documentation
Act as a senior technical contributor across one or more client projects in a consulting setting
Act as direct people manager for a team of data engineers, responsible for performance reviews, development planning, and career coaching
Conduct regular 1:1s, provide feedback, and support skills growth through mentoring and learning opportunities
Balance and allocate team members across multiple projects, ensuring workload clarity and capacity planning
Foster a healthy, collaborative team culture by promoting open communication, continuous improvement, and psychological safety
Monitor team morale and resolve delivery blockers that affect individual or team performance

What we offer

Flexible working hours
Private health insurance (UNUM up to PLN 350,000, advanced up to PLN 500,000)
Co-funding for PZU, Medicover or LuxMed medical packages
Multisport card
Access to training platforms (MS certificates, SQL BI, internal Delivery Excellence Workshops)
Breakfasts, fruit, snacks, and always-chilled drinks in the office
Anniversary gifts and quarterly integration budgets
Paid referral program (up to PLN 8,000)
„It’s good to stay with us” – PLN 2,500 voucher after 3 years with the company

Fulltime

Lead Azure Data Engineer

The Lead Azure Data Engineer operates as a technology expert and architect respo...

Location

United States

Salary:

128000.00 - 168000.00 USD / Year

Wolverine Worldwide

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or equivalent work experience
10+ years of proven experience in the design and implementation of data warehouse architecture as well as data delivery, data modeling, ETL tools, master data management and deploying highly automated and documented solutions
Considered an expert with Cloud Data Engineering (Ex: MS Azure Synapse and/or Fabric)
8+ years of experience with Microsoft Azure data engineering products: Azure Synapse Studio, Pipelines/Workflows, Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps
Strong understanding of Azure Monitor, Application Insights, Cost Management, or equivalent tooling
Strong understanding of SAP AFS Functional Areas, Sales and Distribution, Order to Cash, Material Management, Procure to Pay a plus
Certificates in area of expertise or equivalent training and development
Proven successful assignment record
Good analytical, problem solving and organizational skills
Ability to establish and maintain effective working relationships

Job Responsibility

Confers with customers and team members to determine requirements
designs business application systems that address and solve corporate business needs
utilizes business and systems knowledge to best meet customer and organizational needs
Manages and maintains controls and procedures, ensuring that assigned IT areas are performing significant tasks on schedule and within expense parameters
Acts as coordinator, as requested, for Enterprise-Wide priorities
identifies and analyzes issues, devises solutions through cross-functional teamwork and determines corrective action, clearly communicating to stakeholders throughout
Assesses requirements and work requests and assigns priorities and resolution targets
Assists Manager in preparation of annual budgets and monthly cost allocations
Accountable for disaster recovery initiatives and change management standards and procedures
Leads and/or assists team members and customers with problem solving related to application performance and usage

Fulltime

Senior Azure Data Engineer with Fabric

Senior Azure Data Engineer with Microsoft Fabric Experience

Location

United States , Newark

Salary:

130000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Minimum 10+ years experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, Microsoft Fabric etc.
Azure experience is preferred over other cloud platforms
Minimum 10 + years of proven experience with SQL, schema design and dimensional data modelling
Solid knowledge of data warehouse best practices, development standards and methodologies
Experience with ETL/ELT tools like ADF, Azure, MS Fabric etc., and data warehousing technologies like Azure Synapse, Azure SQL, ADLS etc.
Strong experience with big data tools(Microsoft Fabric, Databricks , Spark etc..) and programming skills in PySpark and Spark SQL
Be an independent self-learner with a let s get this done approach and ability to work in Fast paced and Dynamic environment
Knowledge in Microsoft Fabric Data Platform
Expertise in designing application solution on Azure Data Platform for complex business needs
Serves as key technical expert engaged on designing, architecting, deploying and maintaining cloud solutions, Data Management & Analytics

Job Responsibility

Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function
Align with the Product Owner and Scrum Master in assessing business needs and transforming them into scalable applications
Build and maintain code to manage data received from heterogenous data formats including web- based sources, internal/external databases, flat files, heterogenous data formats (binary, ASCII)
Help build new enterprise Datawarehouse and maintain the existing one
Design and support effective storage and retrieval of very large internal and external data set and be forward think about the convergence strategy with our Azure cloud migration
Assess the impact of scaling up and scaling out and ensure sustained data management and data delivery performance

Fulltime

Data Engineer with Azure Fabric

The Data Engineer will focus on developing scalable, high-performance data proce...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum 3–8 years in data engineering, data warehousing, or data architecture roles
At least 3+ years working with Fabric
BSc/MSc in Computer Science, Data Engineering, or related field
Proven experience in data engineering and pipeline development on Fabric, Azure and cloud-native platforms
Familiarity with Fabric Workflows and other orchestration tools
Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent
Strong SQL and Python (or equivalent language) skills for data manipulation and automation
Exposure to AI/ML workloads desirable
Proficiency in cloud ecosystems (Specifically Azure, optionally AWS and GCP are an advantage) and infrastructure-as-code (e.g., Terraform)
Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)

Job Responsibility

Client Engagement & Delivery
Data Pipeline Development (Batch and Streaming)
Fabric and Azure Architectures
Data Modelling & Optimisation
Collaboration & Best Practices
Quality, Governance & Security
Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements
High client satisfaction and successful adoption of Fabric and Azure based solutions
Improve data engineering practices

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Projects have different working hours to suit your needs
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions or joining our accredited Coaching School
Epic parties or themed events

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Lead Fabric Data Engineer

Job Description

Job Responsibility

Requirements

Nice to have

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