data engineer in scalable data infrastructure

Enfint; Wrocław; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

LuxMed private medical care

MyBenefit cafeteria credits

Multisport membership

Glasses reimbursement

Referral bonuses

AI track & R&D lab access

GitHub Copilot and Cursor licenses

Job summary

Vention, a global engineering partner to tech leaders, seeks a Data Engineer to build and optimize scalable ETL/ELT pipelines in cloud environments and to turn data into smart decisions. You will integrate diverse data sources, design cloud-native architectures, and collaborate with cross-functional teams to translate business needs into efficient data solutions, dashboards, and insights.

Strong Python, SQL, Spark, and English communication are required.

Qualifications

• 2+ years of experience in Data Engineering.
• Strong experience with Python and SQL.
• Solid knowledge of Spark/PySpark.
• Experience with AWS services (Glue, S3, Lambda) or Azure Databricks (Delta Lake, ADLS Gen2, Key Vault, DevOps).
• Experience in an Agile environment (Scrum/Kanban).
• B2+ English with experience communicating with English-speaking customers.

Responsibilities

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments including AWS, Azure, GCP, Snowflake, or Databricks.
• Integrate and manage diverse datasets to ensure accessibility and quality for analytics and ML.
• Design and maintain cloud-native, high-performance data architectures that scale with business needs.
• Collaborate with cross-functional teams to translate business requirements into efficient data solutions.
• Analyze data and create dashboards, reports, and visualizations to uncover trends and support decision-making.
• Stay up to date with cloud data technologies and industry best practices and bring innovation to the data ecosystem.

Skills

Python

SQL

Spark / PySpark

AWS Glue / S3 / Lambda

Azure Databricks / Delta Lake

Agile (Scrum / Kanban)

English (B2+)

Tools

Kafka

Flink

Kubernetes

Terraform

Job description

Описание:

Vention is a global engineering partner to tech leaders and fast-growing startups, combining product development expertise with an AI-first approach and reliable delivery. Its data engineering teams help startups and enterprises turn data into smart decisions and better user experiences by building scalable data pipelines and infrastructure.

Задачи:

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments including AWS, Azure, GCP, Snowflake, or Databricks
• Integrate and manage diverse datasets to ensure accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures that scale with business needs
• Collaborate with cross-functional teams to translate business requirements into efficient data solutions
• Analyze data and create dashboards, reports, and visualizations to uncover trends and support decision-making
• Stay up to date with cloud data technologies and industry best practices and bring innovation to the data ecosystem

Требования:

• 2+ Years of experience in Data Engineering
• Strong experience with Python and SQL
• Solid knowledge of Spark/PySpark for distributed data processing
• Experience with AWS services including Glue, S3, and Lambda, or Azure Databricks including Delta Lake, ADLS Gen2, Key Vault, and DevOps
• Experience working in an Agile environment such as Scrum or Kanban
• B2+ English and experience communicating with English-speaking customers
• Nice to have: experience with streaming technologies such as Kafka and Flink, infrastructure knowledge including Kubernetes and Terraform

Условия:

• Private medical care with LuxMed
• Kafeteria MyBenefit credits for stores, restaurants, and cafés
• Access to a Multisport membership
• Glasses reimbursement program
• Referral bonuses for bringing in new talent
• EDU corporate community with tech communities, interest clubs, events, an R&D lab, a knowledge base, and a dedicated AI track
• Licenses for AI tools including GitHub Copilot and Cursor