Data Engineering Tech Lead - freelance

Lever, Inc.; Polska; On-site; PLN 180,000 - 260,000; Full time

Job summary

Lever, Inc. in Poland seeks a Senior Data Engineering Lead to guide a growing data team, mentor engineers, and align projects with business goals. You will partner with developers, define plans, and ensure timely delivery of scalable data solutions.

You will shape architecture, enforce coding standards, advance CI/CD, data governance, and security compliance, while evaluating new technologies and guiding stakeholders.

Qualifications

• Minimum of 5 years of experience in data engineering or a related field.
• Strong technical skills in data engineering, including proficiency in Python, SQL and Scala.
• Familiarity with Azure cloud platform and services, and experience in implementing data solutions in a cloud environment.
• Expertise in working with ETL frameworks, data pipelines, and data warehousing solutions.
• Proven experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support.
• In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.
• Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.
• Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.
• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.
• A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. Additional certifications in data integration tools or platforms are advantageous.

Responsibilities

• Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment.
• Set clear goals, assign tasks, and manage resources to ensure successful project delivery.
• Work closely with developers to support them and improve data engineering processes.
• Support team members with troubleshooting and resolving complex technical issues and challenges.
• Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies.
• Collaborate with stakeholders to understand project requirements, define scope, and create project plans.
• Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards.
• Act as a trusted advisor for the customer.
• Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders.
• Align coding standards, conduct code reviews to ensure proper code quality level.
• Identify and introduce quality assurance processes for data pipelines and workflows.
• Optimize data processing and storage for performance, efficiency and cost savings.
• Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards).
• Act as main point of contact to other teams/contributors engaged in the project.
• Maintain technical documentation of the project, control validity and perform regular reviews of it.
• Ensure compliance with security standards and regulations.

Skills

Team leadership

Project management

Problem solving

Communication

Continuous learning

Education

Bachelor's or Master's in Computer Science / Information Systems

Tools

Python

SQL

Scala

Azure

ETL frameworks

Data warehousing

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We’re committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Tasks

• Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment. Set clear goals, assign tasks, and manage resources to ensure successful project delivery. Work closely with developers to support them and improve data engineering processes.

• Support team members with troubleshooting and resolving complex technical issues and challenges.

• Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies. Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards.

• Collaborate with stakeholders to understand project requirements, define scope, and create project plans.

• Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards. Monitor progress, identify risks, and implement mitigation strategies.

• Act as a trusted advisor for the customer.

• Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders. Ensure data solutions are scalable, efficient, and aligned with business requirements. Provide guidance in areas such as data modeling, database design, and data integration.

• Align coding standards, conduct code reviews to ensure proper code quality level.

• Identify and introduce quality assurance processes for data pipelines and workflows.

• Optimize data processing and storage for performance, efficiency and cost savings.

• Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards).

• Act as main point of contact to other teams/contributors engaged in the project.

• Maintain technical documentation of the project, control validity and perform regular reviews of it.

• Ensure compliance with security standards and regulations.

Requirements

• Minimum of 5 years of experience in data engineering or a related field.

• Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL and Scala.

• Familiarity with Azure cloud platform and services, and experience in implementing data solutions in a cloud environment.

• Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions.

• Proven experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support.

• In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.

• Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.

• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.

• Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.

• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.

• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.

• A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. Additional certifications in data integration tools or platforms are advantageous.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.