Bachelor's or master's degree in Computer Science, Information Systems, or a related field.
8-10 years of experience in data engineering with proven leadership experience.
Proficiency in Python, SQL, R or Scala, and hands-on experience with Microsoft Azure and Databricks.
Experience with data governance, data quality, data integration, ETL frameworks, and knowledge of data security/privacy regulations; familiarity with GCP/AWS is a plus.
Requirements:
Lead and mentor the data engineering team to deliver projects efficiently: set goals, assign tasks, manage resources, support developers, troubleshoot complex issues, and promote Generative AI tools to accelerate delivery.
Oversee data solution design and architecture to ensure scalability, performance, and alignment with business requirements; provide guidance on data modeling, database design, and data integration.
Enforce coding standards and QA processes: conduct code reviews, optimize data processing and storage for performance and cost, and evaluate new technologies (CI/CD, QA, tooling) to improve processes.
Collaborate with stakeholders to define project scope, create project plans, monitor progress, identify risks, implement mitigations, and maintain technical documentation and security/compliance.
Job description
1
Tasks:
Efficient and effective project delivery is the primary responsibility of the tech lead.
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.
Utilize and promote Generative AI tools to accelerate project delivery.
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.
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.
What We're Looking For
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.
Minimum of 8-10 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, R or Scala.
Practical experience with Microsoft Azure cloud and Databricks platform. Familiarity with other cloud platforms, such as GCP or AWS, is beneficial.
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.
Hands-on experience using GenAI tools in daily programming is highly beneficial. A willingness to learn, utilize and promote such tools is expected.
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.
We offer:
Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
100% remote.
Flexibility regarding working hours.
Full-time position
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemy learning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.
