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Senior Data Engineer / Tech Lead

Role overview

Qualifications

  • Master’s degree in Computer Science or a related IT field
  • 12+ years of professional experience in data engineering or technical leadership role
  • Minimum 5 years of hands-on experience with Databricks, Python, Apache Spark, Delta Lake
  • Strong experience with Big Data technologies and Data Warehouses

Responsibilities

  • Lead the design and development of scalable data platforms and data solutions
  • Architect and optimize high-volume batch and streaming data pipelines
  • Drive technical leadership, mentor engineers, and establish best practices
  • Collaborate with stakeholders to prototype and evolve data solutions

Key facts

Hard skills

Other skills

  • Communication
  • Teamwork

About the company

Accenture Nordics logo

Accenture Nordics

IT Services & IT Consulting

Get insights from Accenture in Denmark, Finland, Norway and Sweden. Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 710,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at accenture.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

WHO WE ARE:

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. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.

At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with technology partners including Microsoft, AWS, Google, Oracle, and Snowflake to deliver modern Data & Analytics solutions, supporting clients from strategy definition through implementation and development.

THE WORK:

  • Lead the design and development of scalable data platforms, data lakes, and data warehouse solutions using Databricks, Python, Spark, Delta Lake, and DLT, while fostering a culture of learning across engineering teams.
  • Architect and optimize high-volume batch and streaming data pipelines for near real-time analytics, demonstrating a commitment to constant progress and engineering excellence.
  • Drive technical leadership, mentor engineers, and establish best practices for software development, automated testing, CI/CD pipelines, and GitLab-based delivery processes.
  • Collaborate with stakeholders to rapidly prototype data solutions, embrace challenges as opportunities, and evolve prototypes into production-ready platforms with strong non-functional requirements, including high throughput and low latency.
  • Apply AI solutions across the software development lifecycle and promotecontinuous learning by identifying innovative approaches to improve engineering productivity and product quality.

Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances.

With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

WHAT'S IN IT FOR YOU?

  • Work on modern cloud-based data engineering programs for international clients, gaining exposure to large-scale
  • Take ownership of technical decisions and architecture while collaborating with experienced Data & AI professionals in a global environment.
  • Access opportunities for professional growth, knowledge sharing, and continuous upskilling in cloud, AI, data engineering

HERE’S WHAT YOU’LL NEED:

  • Master’s degree in Computer Science or a related IT field.
  • 12+ years of professional experience in data engineering, software engineering, or a similar technical leadership role.
  • Proven experience leading engineering teams and mentoring technical professionals.
  • Hands-on experience using AI within the software development lifecycle.
  • Minimum 5 years of hands-on experience with Databricks, Python, Apache Spark, Delta Lake, DLT, and GitLab.
  • Strong experience with Big Data technologies, Data Warehouses
  • Experience building scalable batch and streaming data pipelines processing high-volume datasets.
  • Extensive knowledge of cloud platforms (Azure preferred), Unix/Linux environments, and shell scripting.
  • Experience designing high-performance applications with focus on throughput, scalability, reliability, and latency requirements.
  • Expertise in automated testing, CI/CD implementation, and modern engineering practices.
  • Strong communication, stakeholder management, and teamwork skills.
  • Fluent English communication skills.

BONUS POINTS IF YOU HAVE:

  • Experience with SQL, PL/SQL, PostgreSQL, Azure SQL, or other database technologies.
  • Experience working across multiple cloud providers beyond Azure.
  • Relevant cloud, data engineering, or Databricks certifications.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

WHAT WE OFFER?

  • Permanent employment contract or B2B.
  • Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
  • A wide training package (soft, technical, and language training offer, access
  • Employee Assistance Program – legal, financial, and psychological consultations.
  • Accenture employees eligible for the Employee Share Purchase Plan automatically become eligible for quarterly dividends if they own company shares.
  • Paid employee referral program.
  • Private medical care and life insurance.
  • Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).

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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Marcus Rivera

Chief Revenue Officer

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