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Senior AI & Data Engineer

Accenture

Senior AI & Data Engineer

Accenture

·

On-site

·

Full-time

·

4d ago

Are you ready to be a part of the digital reinvention of industry and revolutionize your career?

  • In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value.

That’s where Accenture Strategy & Consulting:

  • Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Strategy and Consulting is one of four services –the others are Accenture Song, Technology and Operations

WORK YOU’LL DO

As part of Data & AI practice, you will combine AI & ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape**.**

Key Responsibilities:

  • Collaborate globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements.

  • Develop and optimize ETL processes to integrate data from various sources, ensuring high data quality and reliability.

  • Adhere to software engineering best practices for maintainable, scalable, and robust data solutions.

  • Mentor junior team members, providing guidelines to ensure high-quality deliverables.

  • Communicate complex technical solutions to senior management and diverse stakeholders effectively.

  • Contribute to sales activities through data and platform architecture expertise

  • Stay updated on industry trends and contribute to internal initiatives, R&D, and business development projects.

  • Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones

WHO WE´RE LOOKING FOR?

  • Bachelor's degree in Computer Science, Engineering or related fields.

  • Master’s or PhD in Computer Science, Engineering or related fields is strongly recommended.

  • Industry vendor certifications are desired (e.g. AWS, Azure, GCP, CNCF/Kubernetes or Databricks certifications); although not essential if you have demonstrable ability.

  • 3+ years in data engineering, with a strong emphasis on cloud environments

  • AWS, GCP, Azure, or Cloud Native platforms.

  • Expertise in designing, developing, and managing scalable, end-to-end data pipelines (ADF, Airflow or dbt,).

  • Proficient in Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg or Microsoft Fabric), Data Warehouses (Teradata, Snowflake, Big Query etc.) and lakehouses (Delta Lake, Apache Hudi)

  • Proficient in programming languages such as SQL, Python and Pyspark with strong skills in writing scalable, readable and maintainable code using object-oriented programming concept.

  • Implement DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) to enhance automation and streamline deployments.

  • Experience in project management frameworks such as Waterfall or Agile.

  • Knowledge in MLOps practices, utilizing MLflow for experiment tracking, model registry, model evaluation, and model serving.

  • Ability to collaborate in multinational environments.

  • Willingness to travel and proficiency in Greek and English.

Considered a plus:

  • Experience with different data execution paradigms, including low latency/streaming, batch, and micro-batch processing (Apache Kafka, Databricks Streaming processing, Apache Stream Sets).

  • Knowledge of data management frameworks (data governance, data quality, data security, data dictionary, metadata management) with tools like Databricks Unity Catalog, Apache Atlas, Informatica etc.

  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.

  • Understanding of API gateway and service mesh architectures (e.g., Istio).

  • Familiarity working with Linux-based operating systems.

  • Familiarity with working with REST APIs.

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 training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people

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

  • Ongoing strength and skill-based evaluation process

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

  • Diverse and inclusive culture

  • Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work

  • 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/.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study