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职位Accenture

Data Engineer

Accenture

Data Engineer

Accenture

Prague

·

On-site

·

Full-time

·

2d ago

About the Role

We are looking for a Data Engineer who actually likes data. We could be writing that we want “someone who is passionate about building robust data solutions and enabling advanced analytics in the pharmaceutical domain”.

But we simply want You to care about data, learn and understand the data core logic. You should have a good amount of critical thinking and common sense on top of actual experience developing in Python/SQL - ideally on AWS + Databricks, see below.

This very role has a great purpose – it's a critical data role for designing and maintaining data pipelines to ensure cutting-edge drug development processes.

You’ll join an AI&Data team that is super passionate about AI and GenAI. We have AI experts, we run trainings, and we also teach others—so you’ll be part of a learning-driven, no-BS & innovative environment.

What You’ll Do

  • Design, develop, and maintain ETL/ELT pipelines to extract, transform, and load data from diverse sources into data lakes and warehouses.

  • We do hope you’ll bring some Generative AI skills to the table. If not, you’ll get upskilled real fast – the data industry is changing faster than ever with Generative AI.

  • Implement data transformation rules and develop data models to support analytics and machine learning workflows.

  • Collaborate with Product Analysts, Data Scientists, and ML Engineers to make data accessible and meaningful.

  • Ensure data quality, maintain data catalogs, and leverage orchestration, logging, and monitoring tools.

  • Apply test-driven development principles to build reliable data solutions.

  • Contribute to information architecture and follow best practices for version control using Git.

What We’re Looking For

  • Strong expertise in Databricks and AWS services (e.g. S3, IAM, Redshift, Glue, Lambda, Step Functions, CloudWatch).

  • Hands-on experience with ETL/ELT processes and orchestration tools.

  • Proficiency in Python and SQL.

  • Experience with GitHub and CI/CD pipelines using GitHub Actions.

  • Also we do hope you are using GenAI powered or agentic stack already – GitHub Copilot is a minimum – if not, you’ll get upskilled asap

  • Excellent communication skills and ability to document processes effectively.

Nice to have

  • Knowledge of pharma or specifically pharma DSCS domain and pharmaceutical processes such as predicting drug substance stability and assay monitoring – If you know this stuff, that’s awesome—but totally not a dealbreaker!

Why Join Us?

  • Be part of a cutting-edge Technology DATA and AI team driving innovation (not only) in pharma and healthcare.

  • Work on real-world data, AI and GenAI applications that make a tangible impact on drug development and patient care.

  • Collaborate with top AI adn data experts and learn from the best—our team runs internal and external trainings and knowledge-sharing sessions regularly.

  • Enjoy a culture of continuous learning: we invest in your growth through certifications, workshops, and hands-on projects.

  • Contribute to global initiatives while working in a dynamic, collaborative environment in the Czech Republic.

  • Access to modern tech stack(Databricks, AWS, Spark, Python, CI/CD pipelines) and opportunities to experiment with new tools and frameworks.

  • Be part of a team that values innovation, creativity, and knowledge sharing—we don’t just build solutions, we shape the future of Data and AI in Pharma.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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关于Accenture

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

员工数

Dublin

总部位置

$139B

企业估值

评价

3.6

9条评价

工作生活平衡

2.8

薪酬

3.5

企业文化

3.2

职业发展

3.8

管理层

3.0

65%

推荐给朋友

优点

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

缺点

High levels of politics

Long hours and stress

Slow moving processes

薪资范围

20个数据点

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0份报告

$63,830

年薪总额

基本工资

$25,532

股票

$31,915

奖金

$6,383

$44,681

$82,979

面试经验

6次面试

难度

2.8

/ 5

时长

14-28周

录用率

17%

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit