Career Opportunities: Enterprise Data & Analytics Engineer - Junior Professional (3192)

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/.

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!

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/.

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/.