Data Engineer - AI-Accelerated Development (Snowflake, Airflow, Python)

Harvey Nash
Snowflake, AZ, United States
about 1 month ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$140,000.0 - $160,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Data Analysis BigQuery Code Review Collaborative Software Databases Continuous Integration Data Architecture Information Engineering
+25 more
Extract Transform Load (ETL) Data Systems Data Warehousing Cursor (Graphical User Interface Elements) Database Queries Python (Programming Language) Operational Databases Oracle (Applications) Performance Tuning Workflow Management Systems GitHub Copilot Snowflake Apache Spark Git Data Lakes Git Flow Data Analytics Apache Kafka Data Management Video Streaming Terraform Azure Synapse Analytics Data Pipelines Amazon Redshift Databricks

Job description

At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. THE WORK Design, build, and operate scalable ELT/ETL pipelines using data from APIs, databases, event streams, and third-party systems Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting Build and optimize data models in Snowflake and Databricks that power analytics, reporting, and AI applications Improve data quality through validation, testing, monitoring, and lineage Investigate production incidents, perform root-cause analysis, and implement long-term fixes Collaborate with analytics engineers, data scientists, product teams, and software engineers Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews) Leverage AI coding tools (e.g., GitHub Copilot, Codex, Cursor) to accelerate development while maintaining 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 platforms and own meaningful parts of data solutions Gain hands-on experience across the full data engineering lifecycle Be part of a high-impact engineering team delivering data-driven solutions, Overview: Position Summary: We’re looking for an Analytics Engineer II to build our next-generation enterprise metrics store and enable insights across underwriting, sales, pro…

  • 24 days ago +

Requirements

Strong SQL skills (complex queries, CTEs, window functions, performance optimization) Experience with Python for data engineering and automation Experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, Synapse) Experience building pipelines using Apache Airflow or similar orchestration tools Experience operating production data systems with focus on reliability and maintainability Experience using Git and collaborative software engineering practices Strong ownership mindset and ability to work in fast-changing environments Effective communication with technical and business stakeholders Experience using AI coding assistants and ability to critically review generated code BONUS POINTS IF YOU HAVE: Experience with Databricks, Apache Spark, or Delta Lake Familiarity with DBT, Kafka, Kinesis, or other streaming technologies Experience with Terraform, Infrastructure as Code, or CI/CD pipelines Experience building AI or ML data pipelines

Benefits & conditions

A permanent employment contract Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications Employee Assistance Program offering legal, financial and psychological consultations Employee Share Purchase Plan - employees who own company shares are automatically eligible for quarterly dividends Paid employee referral program Private medical care and life insurance Access to the Worksmile benefits platform (including the Multisport card) WHAT WE BELIEVE: Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Clicking apply I hereby express my

About the company

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., 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 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon ¡ WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer ¡ Coffee With Developers

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic ¡ JS Congress

1:59 min

Evolving roles in AI driven software teams

Ignacio Riesgo Ignacio Riesgo +1 ¡ WWC 2024

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 ¡ Coffee With Developers

Videos

See all

Related articles

See all