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Data Engineer

Data Engineer

Forward Deployed Engineer

Deloitte

Athenslead

Apply on the employer's site

Role description

What impact will you make?

Forward Deployed Engineer

What Impact will you make?

#YourOpportunity

Technology leaders are evolving from operators to orchestrators, balancing operational excellence with innovation, talent development and the transformative potential of AI. At Deloitte's Technology & Transformation practice, we help organizations navigate this shift by designing, building and scaling modern technology capabilities that create lasting business value.

In Engineering, AI & Data team, we partner with clients to modernize business - critical systems, accelerate digital transformation and unlock sustainable growth through technology.

Joining our team means working on complex, high - impact initiatives alongside multidisciplinary experts, transforming ambitious ideas into secure, scalable and production - ready solutions that shape the future of technology.

#YourRole

As an Forward Deployed Engineer, you'll work alongside client teams to bridge the gap between cutting - edge AI capabilities and real business outcomes. You will design, build, and deploy production - ready AI and Generative AI solutions, helping organizations accelerate innovation, improve operations, and unlock measurable business value.

You will:

  • Work closely with clients teams to rapidly translate business challenges into production - ready AI solutions;
  • Lead the architecture, development, and deployment of end-to-end AI and GenAI solutions, from data ingestion and enterprise integrations to production deployment and monitoring;
  • Design and implement Retrieval - Augmented Generation (RAG), agentic AI, and intelligent automation solutions that solve complex business challenges;
  • Evaluate, Adapt, and optimize LLM - based solutions to ensure quality, scalability, performance and cost efficiency;
  • Integrate AI capabilities into enterprise platforms across cloud and on - premises environments, following secure and scalable engineering practices;
  • Build evaluation frameworks and monitor AI solutions for quality, latency, cost, reliability, and business impact;
  • Collaborate with business and technology teams to translate business requirements into scalable AI architectures and applications;
  • Contribute to Responsible AI, governance, and compliance initiatives, including GDPR and the EU AI Act;
  • Mentor junior engineers, promote engineering best practices, and contribute to reusable AI assets and accelerators;
  • Support clients workshops, solutions design sessions, and AI transformation initiatives from ideation through production.

#WinningRequirements

To qualify for the role you must have:

  • Bachelor’s and/or Master's degree in Computer Science, Engineering, or a related STEM field;
  • 5+ years of experience in software engineering, AI/ML, or data engineering, with hands - on experience delivering AI or Generative AI solutions;
  • Strong proficiency in Python and experience building production - grade AI applications;
  • Experience with LLM's, Retrieval - Augmented Generation (RAG), agentic AI, and modern AI engineering practices;
  • Experience designing scalable APIs, data pipelines, and cloud - native applications on Azure, AWS or GCP;
  • Familiarity with modern AI orchestration frameworks, enterprise integrations, and AI application development best practices;
  • Understanding of MLOps, CI/CD, containerization, and production deployment principles;
  • Knowledge of Responsible AI, model evaluation, and AI governance principles;
  • Experience leading technical teams and delivering high - quality client solutions;
  • Excellent communication, problem - solving, and stakeholder management skills, with the ability to bridge business and technology.

#AboutTechnology&Transformation

Six core competency areas make up our Technology & Transformation service line:

  • Cyber;
  • Engineering, AI & Data;
  • Enterprise, Technology & Performance;
  • Finance Transformation;
  • Deloitte Digital;
  • Human Capital.

We exist to solve complex problems

Our consultants are renowned for their straightforward approach to solving some of the world’s largest and most complex business challenges. Each member of our Technology & Transformation team is energized by the challenge a seemingly inscrutable problem presents. Our distinctiveness lies in our refusal to accept a problem at face value - we draw on the depth of our shared insight to ask the right questions, and it’s these questions that uncover answers - answers with impact.

We are committed to collaboration

Our role is to unlock potential for growth and innovation. We believe this requires real collaboration – with our own networks and with our clients. It’s why we commit to truly getting under the skin of our client’s needs, developing a full appreciation for their environment, goals and ambitions. We’re also unafraid to challenge. In so doing, we build long-term and trusted affinities.

We create long-term, sustainable impact

We often work hand-in-hand with our clients to help find the right solution and to help apply that solution. Our aim is to leave behind ambassadors who are equipped to continue the transformation we began. For us, it’s about embedding sustainable change, allowing the impact of our insight to be felt for a long time to come.

WHY DELOITTE

At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference, and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in different ways, we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.

ABOUT DELOITTE

Our services

Deloitte operates in Greece since 1975, as a member of one of the world’s largest professional services networks, Deloitte Touche Tohmatsu. With offices in Athens, Thessaloniki, Heraklion, Patras and Ioannina, Deloitte Greece employs more than 2,900 professionals.

After 50 years of successful and dynamic presence in the Greek market, we bring an unmatched breadth and depth of expertise across audit and assurance, technology & transformation, tax & legal and strategy, risk & transactions advisory services. Operating in a multidisciplinary model enables us to draw from a pool of world-class talent, identifying the ideal skillset for each project, and to collaborate across businesses, to solve the toughest, most challenging issues of our clients. It is with them that we have built a trusted relationship, by delivering innovative solutions and utilizing state-of-the-art tools and technologies across all industries- Consumer Products, Energy Resources & Industrials, Financial Services, Life Sciences & Health Care, Government & Public Services, Technology, Media & Telecommunications.

Our Purpose

Our purpose, “To make an impact that matters for our clients, our people and society “- defines who we are and what we stand for. This is not about size, it's about being the first choice. The first choice for the largest and most influential clients, and the first choice for the best talent.

Our values

At Deloitte we foster a collaborative culture where talented individuals can produce their best work. We value innovative thinking, diverse insights and a genuinely distinctive level of customer service through our expertise and professionalism.

We value difference, with respect at the heart of our inclusive culture.

Our talent experience

From day one at our firm, practitioners are part of a community. Our development and career progression framework will help them develop the skills and capabilities to succeed. The wellness of our people and the ability to offer agile working arrangements is at the center of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day.

Sounds like the sort of role for you? Apply now.

This document has been prepared by Deloitte Business Solutions Societe Anonyme of Business Consultants, Deloitte Certified Public Accountants Societe Anonyme and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants.

Deloitte Business Solutions Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 000665201000 and its registered office at Marousi Attica, 3a Fragkokklisias & Granikou str., 151 25, Deloitte Certified Public Accountants Societe Anonyme, a Greek company, registered in Greece with registered number 0001223601000 and its registered office at Marousi, Attica, 3a Fragkokklisias & Granikou str., 151 25 and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 144724504000 and its registered office at Thessaloniki, Municipality of Pylaia - Chortiatis of Thessaloniki, Vepe Technopolis Thessaloniki (5th and 3rd street), are one of the Deloitte Central Mediterranean S.r.l. (“DCM”) countries. DCM, a company limited by guarantee registered in Italy with registered number 09599600963 and its registered office at Via Tortona no. 25, 20144, Milan, Italy is one of the Deloitte NSE LLP geographies. Deloitte NSE LLP is a UK limited liability partnership and member firm of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee.

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms and their related entities (collectively, the “Deloitte organization”). DTTL (also referred to as “Deloitte Global”) and each of its member firms and related entities are legally separate and independent entities, which cannot obligate or bind each other in respect of third parties. DTTL and each DTTL member firm and related entity is liable only for its own acts and omissions, and not those of any of each other. DTTL does not provide services to clients. Please see www.deloitte.com/ about to learn more. DTTL, Deloitte NSE LLP and Deloitte Central Mediterranean S.r.l. do not provide services to clients. Please see www.deloitte.com/about to learn more about our global network of member firms.

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories serves four out of five Fortune Global 500ℜg; companies. Learn how Deloitte’s approximately 312,000 people make an impact that matters at www.deloitte.com*.*

This document and its contents are prepared solely for your use, and may not be reproduced, redistributed or passed on to any other person in whole or in part, unless otherwise expressly agreed with you. No other party is entitled to rely on this document for any purpose whatsoever and we accept no liability to any other party, who is provided with or obtains access or relies to this document.

© 2026 Deloitte Central Mediterranean. All rights reserved.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Data Engineer

Senior Data Engineer in Athens or Thessaloniki

Accenture Greece

Athenssenior

Apply on the employer's site

Role description

Shape the Future of Data as a Senior Data Engineer at Accenture.
In a world defined by constant disruption, data has become the foundation for resilience, reinvention, and growth. Organizations are no longer just managing data — they are re-architecting their business around it to thrive in times of rapid change and position themselves for long-term success.

Accenture’s Data & AI
data engineering teams empower forward-thinking leaders to unlock the full potential of their data estate. We design and build modern, cloud-native data platforms that enable enterprises to move beyond fragmented, legacy systems into scalable, intelligent architectures that fuel innovation.

By combining deep industry expertise with mastery of data engineering, AI, and analytics, we help clients harness the full spectrum of their data — structured, unstructured, and real-time — to deliver actionable insights and power new business models. Leveraging leading technologies across our global partner ecosystem, our teams orchestrate secure, trusted data foundations that accelerate AI adoption and deliver measurable impact.

Through the world’s largest delivery network and 100+ innovation hubs, we deliver transformation at speed and scale. From enabling real-time risk management for banks, to powering hyper-personalized customer experiences for retailers, to accelerating sustainability insights for energy companies — our data engineering capabilities help clients not just adapt to change, but consistently stay ahead of it.

Together, we turn data into a strategic asset that fuels reinvention, resilience, and sustainable growth.

As a
Senior Cloud Data Engineer
at Accenture, you will play a key role in designing and delivering modern cloud-based data platforms that power analytics, AI, and business innovation. You’ll partner with clients and cross-functional teams to transform raw business requirements into scalable, high-performance solutions that create real impact.

Responsibilities:

  • Guide projects from design to delivery, providing expert technical consultation and contributing to strategic initiatives.

  • Lead, mentor, and coach junior team members while managing project deliverables and ensuring high standards of quality.

  • Collaborate with clients in workshops to validate business requirements and architect robust Cloud BI/DWH applications.

  • Leverage data analysis skills to design, build, test, and deploy advanced ETL processes for enterprise data.

  • Ensure the quality of technical designs and deliverables while defining and implementing process improvements and optimization techniques

WHO WE´RE LOOKING FOR?

  • Bachelor's degree in Computer Science or a related field.

  • 5+ years of experience in data engineering, with a focus on cloud platforms like Azure, AWS, or GCP.

  • Strong understanding of data management and data warehousing principles.

  • Proven experience with Cloud data platforms (e.g Databricks, MS Fabric, Azure Synapse Analytics, Azure DataLake, AWS S3, Google GCP).

  • Proficiency in SQL, Python, and PySpark for building scalable and maintainable code.

  • Expertise in designing end-to-end data pipelines and implementing DevOps practices like CI/CD.

  • Experience with data visualization tools (Power BI, Tableau)

  • Experience in project management methodologies (Agile, Waterfall).

  • Experience in team leadership and mentorship.

  • Relevant industry certifications (Azure, AWS, GCP) are a plus.

WHAT´S IN IT FOR YOU?

  • Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts

  • Continuous hard and soft skills training & development through global platforms & local academy

  • Career coaching and mentorship to help you manage your career and develop professionally

  • Ongoing strengths and skills based evaluation process

  • Various opportunities to develop your career across a spectrum of clients, industries and projects

  • Diverse and inclusive culture

  • Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)

  • Under our Brain Regain initiative, extra relocation benefits may apply

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Head of Data Standards & CRF Design (all genders)

Merck Healthcare

Athens

Apply on the employer's site

Role description

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

This role requires to be on-site in our office in Maroussi, Greece for 3 days per week.
Your Role
In your role as Director, Clinical Data Standards and CRF Design, you will lead a global team accountable for clinical data standards, CRF design, metadata governance, and submission-ready data deliverables. You will own the operational implementation of standards across CRF, SDTM, and non-CRF domains, drive governance and version control in the metadata repository, and ensure high-quality study design, eDC CRF Design, and regulatory submission readiness fpr SDTM packages in outsourced studies. You will partner across Clinical Development, Data Management, Biostatistics, Safety, Regulatory, IT, CROs, technology vendors, and industry forums to advance standards, inspection readiness, and digital innovation.This is a highly collaborative global role where your leadership directly impacts how fast we bring life-changing solutions to patients. You will find excellent opportunities to grow your career as you lead change and champion clinical data innovation across the organization.

Who You Are

  • You hold an advanced degree in Life Sciences, Data Science, Information Systems, Computer Science, or an equivalent scientific or technical discipline.
  • You bring 10 or more years of progressive experience in clinical data standards within a pharmaceutical, biotech, or CRO environment, including demonstrated progression into senior leadership roles.
  • You have at least 5 years of experience leading and developing global, multidisciplinary teams responsible for data standards definition, implementation, and cross-functional integration.
  • You possess deep expertise in CDISC standards and submission-related deliverables, including CDASH, SDTM, Define.xml, annotated CRF (aCRF), SDRG, and inspection-ready metadata governance.
  • You have proven experience in CRF design, eDC study build standards, metadata repository lifecycle management, external data standards, and regulatory submission readiness.
  • You demonstrate a strong track record in governance, quality oversight, risk management, vendor and CRO partnership, and cross-functional decision-making in a regulated clinical development environment.
  • Experience with emerging standards and technologies such as Dataset-JSON, SDTM v3.0, CDISC Open Rules, ICH M11, HL7 FHIR-to-CDISC interoperability, or AI-enabled metadata and protocol-to-CRF automation is a plus.
  • Strong executive communication, stakeholder influence, change leadership, and the ability to represent the function in external standards or industry forums are advantageous.

What we offer:
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Cloud Data Engineer in Athens or Thessaloniki

Accenture Greece

Athens

Apply on the employer's site

Role description

ARE
YOU
READY
to
step
up
to
the
New
and
take
your
technology
expertise
to
the
next
level?
Accenture’s
Data & AI
Data Engineering teams
empower forward-thinking leaders to unlock the full potential of their data estate. We design and build modern, cloud-native data platforms that enable enterprises to move beyond fragmented, legacy systems into scalable, intelligent architectures that fuel innovation.

By combining deep industry expertise with mastery of data engineering, AI, and analytics, we help clients harness the full spectrum of their data — structured, unstructured, and real-time — to deliver actionable insights and power new business models. Leveraging leading technologies across our global partner ecosystem, our teams orchestrate secure, trusted data foundations that accelerate AI adoption and deliver measurable impact.

Through the world’s largest delivery network and 100+ innovation hubs, we deliver transformation at speed and scale. From enabling real-time risk management for banks, to powering hyper-personalized customer experiences for retailers, to accelerating sustainability insights for energy companies — our data engineering capabilities help clients not just adapt to change, but consistently stay ahead of it.

Together, we turn data into a strategic asset that fuels reinvention, resilience, and sustainable growth.

Technology
is one of four services–the others are Strategy and Consulting, Interactive and Operations.

WORK YOU’LL DO
As a
Cloud Data Engineer
at Accenture, you’ll work in cross-functional teams to help our clients unlock the power of their data. You’ll design, build, and deploy modern data solutions on leading cloud platforms, creating the foundations that enable advanced analytics and AI.

Responsibilities
:

  • Develop data applications & solutions with a focus on learning core skills and performing tasks without supervision.

  • Handle increasingly complex tasks with moderate supervision, applying learned knowledge to deliver results and solve routine problems.

  • Build and optimize scalable data pipelines and workflows in cloud environments.

  • Support data architects by gathering requirements and helping define data models and architecture.

  • Maintain data quality and governance standards while collaborating with cross-functional teams to align data solutions with business needs.

  • Participate in process improvements and apply DevOps practices to streamline workflows.

WHO WE´RE LOOKING FOR?

  • Bachelor's degree in Computer Science, Information Systems, or a related field.

  • Min 1 year of experience in data engineering, with a focus on cloud platforms like Azure, AWS, or GCP

  • Foundational knowledge of data warehousing and data management concepts.

  • Competence in SQL and/or Python/Pyspark programming languages.

  • Moderate experience with Cloud data platforms (e.g Databricks, MS Fabric, Azure Synapse Analytics, Azure DataLake, AWS S3, Google GCP) and knowledge/understanding of data visualization tools (Power BI, Tableau).

  • Familiarity with ETL tools (e.g. Azure Data Factory, dbt) and cloud platforms (Azure, AWS, GCP).

  • Strong analytical and problem-solving skills.

  • Team-oriented mindset and a willingness to learn in a fast-paced environment.

WHAT´S IN IT FOR YOU?

  • Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts

  • Continuous hard and soft skills training & development through global platforms & local academy

  • Career coaching and mentorship to help you manage your career and develop professionally

  • Ongoing strengths and skills based evaluation process

  • Various opportunities to develop your career across a spectrum of clients, industries and projects

  • Diverse and inclusive culture

  • Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)

  • Under our Brain Regain initiative, extra relocation benefits may apply

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Get Trained.Get Hired! in AI Knowledge Engineer for Data

Accenture Greece

Athens

Apply on the employer's site

Role description

Join our awarded
Get Trained.Get Hired! Program
for a career as an
AI Knowledge Engineer
for Data
- redefine your skills, turn your passion for data and AI into a profession, and
grab the opportunity to join Accenture
!

Did you recently graduate from a Top University (or recently completed a high-quality bootcamp) and feel ready to take your career path in a bold, future-ready direction?

If you're considering a career at the intersection of
AI & Data
- and are passionate about building the scalable, AI-ready data foundations that power real-world analytics and AI solutions -
now is the perfect time
to apply to our
GTGH Program
and take your career path in a new direction!

Throughout the free
4-week program in Athens
, you'll be empowered to put your unique ideas to the test, learn new skills, and build your network.

You'll get hands-on training in
:

✅ PySpark & Data pipelines: Process batch and streaming data at scale, build and orchestrate reliable ETL/ELT pipelines with Databricks and Microsoft Fabric (OneLake, SQL Endpoints).

✅ DevOps fundamentals: Version control with Git, containerization with Docker, and CI/CD pipelines (GitHub Actions, Azure DevOps, or GitLab CI) - the backbone of production-grade engineering.

✅ APIs & system integration: Consume and expose REST / FAST APIs, handle authentication and error handling, and connect data systems end-to-end.

✅ AI-ready data preparation: Parse, chunk, clean, and enrich documents (PDFs, Word, HTML, scanned files) with the metadata that makes them retrievable, governed, and trustworthy. Define entities relationships with Knowledge graphs and multimodality.

✅ Embeddings & vector databases: Generate embeddings, load them into vector stores like Azure AI Search or PGVector, and understand why embedding quality determines retrieval quality.

✅ LLMs, prompting & RAG: Call LLMs, design prompts, produce structured outputs, and build Retrieval-Augmented Generation pipelines end-to-end - ingest → chunk → embed → index → retrieve → prompt → respond → evaluate. Azure AI Foundry prompt experimentation.

… and
many more
skills curated from our delivery projects and learning paths!

Graduates who successfully complete the program will be
offered the opportunity
to pursue a rewarding career at
Accenture Greece
, working together with our leading AI and data engineers on high-impact platforms.

Be
part of cutting-edge AI and data transformation projects
where your talent will shape real-world impact, drive innovation, and redefine the future of enterprise by building the AI-ready data foundations that enable modern AI solutions!

What we’re looking for:

  • Recent graduates with a degree in Computer Science, Engineering, or STEM-related fields

  • Good knowledge of SQL and Python , with willingness to learn and grow

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Forward Deployed EngineerDeloitte · Greece

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Forward Deployed Engineer — Deloitte | mentors.coach