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Data Engineer

Data Engineer

Data Scientist - AI / GenAI for Financial Risk Management

Deloitte

Athenssenior

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Описание вакансии

What impact will you make?

#YourOpportunity

We are currently seeking for enthusiastic and self - driven Data Scientist professional with exceptional analytical skills and experience in consulting or financial services to become part of our rapidly growing Financial Risk Management team in our offices in Athens.

Our Financial Risk Management (FRM) practice constitutes the fastest growing team in the local market with a proven track record of delivering large scale engagements across the industry during the recent past. Our practice forms part of Deloitte’s North South Europe (NSE) “One_FRM” initiative which brings together risk professionals from the UK, Italy, the Netherlands, Belgium, the Nordics, Switzerland, Ireland and Greece into one single team thus representing an excellent opportunity to join forces and fulfil the core principle of Deloitte to act “as one” at European level with the aim to continue offering “state of the art” and value-adding propositions to our clients and solve “real world” problems faced by Financial Institutions in Greece and abroad.

We offer to our clients comprehensive solutions in the wide spectrum of financial risk areas focusing on credit and market risk as well as capital management, liquidity and treasury risk as a response to industry-wide challenges.

If you are ready to advance your career to the next level in a challenging international environment, focusing on continuous learning and dynamic teamwork, both in Greece and abroad, you are ready to join Deloitte’s Financial Risk Management practice.

#YourRole

Deloitte is a leading provider of Financial Risk Management Advisory services and thus offers the opportunity to work on high-profile projects and clients that are leaders in the industry.

Our projects vary and your responsibilities will differ based on the focus of the client engagement and needs. However, your role could include and may require you to:

  • Develop and implement
    machine learning models
    for risk use cases such as:
  • credit scoring and risk segmentation
  • early warning systems
  • anomaly and fraud detection
  • stress testing and scenario analysis
  • Design and deploy
    Generative AI solutions
    , including:
  • automation of risk reporting and documentation
  • intelligent data extraction and summarization
  • Apply
    advanced statistical and quantitative techniques
    to large datasets
  • Collaborate with risk and business teams to
    translate requirements into analytical models
  • Support
    model deployment and industrialization
    (APIs, pipelines, cloud environments)
  • Ensure alignment with
    model risk management (MRM)
    practices
  • Prepare high-quality
    client deliverables and presentations

#WinningRequirements

We are specifically seeking professionals who possess both technical and business skills, can clearly articulate the outcomes and value of their work, and can demonstrate the following:

  • 2-5 years of relevant experience in
    banking or financial services
    , exposure to
    risk management use cases
    (credit, market, liquidity) is highly desirable
  • Strong background in machine learning, statistics, and quantitative modeling
  • Proficiency in
    Python
    (pandas, scikit-learn, TensorFlow/PyTorch)
  • Experience with Generative AI / LLMs (prompt engineering, RAG, fine-tuning)
  • Experience delivering
    AI/ML solutions in production environments
  • Knowledge of data engineering concepts (SQL, ETL, pipelines)
  • Knowledge of data visualisation tools and ability to create dashboards and reports
  • Knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use
  • Understanding of key considerations for Ethical and Responsible data and AI, and experience applying them
  • Ability to explain complex models to
    non-technical stakeholders
  • Strong communication and presentation skills
  • Ability to work in
    cross-functional teams
  • Problem-solving mindset

#AboutDeloitte

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 centre 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.

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Data Engineer

Senior Data Engineer in Athens or Thessaloniki

Accenture Greece

Athenssenior

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Описание вакансии

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/.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Head of Data Standards & CRF Design (all genders)

Merck Healthcare

Athens

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Описание вакансии

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!

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Cloud Data Engineer in Athens or Thessaloniki

Accenture Greece

Athens

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Описание вакансии

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/.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

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

Accenture Greece

Athens

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Описание вакансии

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/.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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Data Scientist - AI / GenAI for Financial Risk ManagementDeloitte · Greece

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