Linnify SRL
Linnify is a global technology partner that helps
visionary companies accelerate their digital development initiatives . With expertise in custom software and AI development, weve delivered over 80 digital products across Europe and North America. Were looking for a
Lead Data Engineer
to take ownership of the data architecture and infrastructure across key product initiatives. Youll drive the evolution of our data systems, lead complex pipeline designs, and mentor engineers to deliver scalable, high-performance, and cost-efficient solutions. This is a hands-on role that blends architectural leadership with execution. This is a
hybrid role based in Cluj-Napoca , offering the best of flexibility and in-person collaboration with product-minded teams. Job responsibilities
Design and evolve
end-to-end data architectures , including ingestion, processing, storage, and analytics Lead the development of reliable, scalable, and cost-effective
data pipelines
for both batch and streaming workloads Optimize ETL/ELT workflows across multiple domains and data sources Own and maintain
orchestration systems
and ensure observability, lineage, and reliability standards are met Collaborate cross-functionally with product managers, analysts, and engineers to translate data needs into architectural plans Ensure compliance with data governance, security, and privacy best practices Mentor and support data engineers, review code, and contribute to the teams technical culture Stay ahead of trends in data tooling, cloud infrastructure, and engineering best practices Define and track success metrics for data quality, pipeline performance, and system cost-effectiveness Job qualifications
Minimum
5+ years
of experience in data engineering with strong exposure to large-scale production systems Proven track record designing and deploying
robust, cloud-native data architectures Expert-level proficiency in
Python
and
SQL , including best practices for testing and modularity Solid experience with
orchestration tools
such as Airflow, Dagster, or Prefect Deep familiarity with modern data platforms such as
Databricks ,
Snowflake ,
BigQuery , or
Palantir In-depth knowledge of at least one major cloud provider ( AWS ,
GCP , or
Azure ) Strong understanding of
streaming systems
like Kafka, Pulsar, or Kinesis Proven ability to mentor engineers and lead technical initiatives Excellent communication skills and the ability to translate complex requirements into elegant systems Technical skills
Languages:
Python, SQL Distributed Compute:
Spark, Flink (or equivalent) Data Warehouses:
Snowflake, Databricks, BigQuery, Palantir Cloud Platforms:
AWS, GCP, or Azure Streaming Technologies:
Kafka, Pulsar, Kinesis Orchestration:
Airflow, Dagster, Prefect DevOps & Observability:
Terraform, GitHub Actions, DBT, DataDog, Great Expectations (nice to have) Strong grasp of data modeling, lineage, and FinOps-aware architecture principles Professional skills
Strong leadership and mentoring abilities Strategic thinking with hands-on implementation skills Highly autonomous with a problem-solving mindset Strong documentation and system-design communication Collaborative, pragmatic, and business-aligned decision-making Whats in it for you?
Impactful work : Contribute to meaningful, real-world products Hybrid flexibility : Balance in-office synergy with remote deep work Modern tech stack : Build with the latest tools in a forward-thinking environment Top-tier gear : Receive your own
MacBook
for high-performance development Continuous growth : Certifications, mentoring, and learning resources provided Supportive team : Work with driven, thoughtful, and innovative people Learning & Development
Were committed to continuous growth. At Linnify, youll benefit from: Access to
role-specific certifications/courses Regular team knowledge-sharing sessions and mentoring opportunities Clear visibility into your progress and opportunities for advancement Flexible work schedule
and remote work days ESOP
(Employee Stock Ownership Plan) so that you grow with us Additional loyalty vacation days
(up to 28 total vacation days based on experience and time with us) Health package
via Regina Maria Clinic Meal tickets
(40 RON/day) Discounted gym subscription About Linnify
Linnify is a global technology partner that helps
visionary companies accelerate their digital development initiatives . With expertise in custom software and AI development, weve launched over 80 digital products across Europe and North America. Our mission is to deliver exceptional value fast through technology. We work closely with our clients to build scalable, user-centered solutions that drive meaningful impact. How to apply
Ready to shape the future of data at Linnify? Apply now and be part of something meaningful. Linnify is an equal opportunities employer.
We celebrate diversity and are committed to creating an environment where everyone thrives based on ability, potential, and passion. Join us, shape the future, and grow alongside some of the brightest minds in Cluj-Napoca. #J-18808-Ljbffr
visionary companies accelerate their digital development initiatives . With expertise in custom software and AI development, weve delivered over 80 digital products across Europe and North America. Were looking for a
Lead Data Engineer
to take ownership of the data architecture and infrastructure across key product initiatives. Youll drive the evolution of our data systems, lead complex pipeline designs, and mentor engineers to deliver scalable, high-performance, and cost-efficient solutions. This is a hands-on role that blends architectural leadership with execution. This is a
hybrid role based in Cluj-Napoca , offering the best of flexibility and in-person collaboration with product-minded teams. Job responsibilities
Design and evolve
end-to-end data architectures , including ingestion, processing, storage, and analytics Lead the development of reliable, scalable, and cost-effective
data pipelines
for both batch and streaming workloads Optimize ETL/ELT workflows across multiple domains and data sources Own and maintain
orchestration systems
and ensure observability, lineage, and reliability standards are met Collaborate cross-functionally with product managers, analysts, and engineers to translate data needs into architectural plans Ensure compliance with data governance, security, and privacy best practices Mentor and support data engineers, review code, and contribute to the teams technical culture Stay ahead of trends in data tooling, cloud infrastructure, and engineering best practices Define and track success metrics for data quality, pipeline performance, and system cost-effectiveness Job qualifications
Minimum
5+ years
of experience in data engineering with strong exposure to large-scale production systems Proven track record designing and deploying
robust, cloud-native data architectures Expert-level proficiency in
Python
and
SQL , including best practices for testing and modularity Solid experience with
orchestration tools
such as Airflow, Dagster, or Prefect Deep familiarity with modern data platforms such as
Databricks ,
Snowflake ,
BigQuery , or
Palantir In-depth knowledge of at least one major cloud provider ( AWS ,
GCP , or
Azure ) Strong understanding of
streaming systems
like Kafka, Pulsar, or Kinesis Proven ability to mentor engineers and lead technical initiatives Excellent communication skills and the ability to translate complex requirements into elegant systems Technical skills
Languages:
Python, SQL Distributed Compute:
Spark, Flink (or equivalent) Data Warehouses:
Snowflake, Databricks, BigQuery, Palantir Cloud Platforms:
AWS, GCP, or Azure Streaming Technologies:
Kafka, Pulsar, Kinesis Orchestration:
Airflow, Dagster, Prefect DevOps & Observability:
Terraform, GitHub Actions, DBT, DataDog, Great Expectations (nice to have) Strong grasp of data modeling, lineage, and FinOps-aware architecture principles Professional skills
Strong leadership and mentoring abilities Strategic thinking with hands-on implementation skills Highly autonomous with a problem-solving mindset Strong documentation and system-design communication Collaborative, pragmatic, and business-aligned decision-making Whats in it for you?
Impactful work : Contribute to meaningful, real-world products Hybrid flexibility : Balance in-office synergy with remote deep work Modern tech stack : Build with the latest tools in a forward-thinking environment Top-tier gear : Receive your own
MacBook
for high-performance development Continuous growth : Certifications, mentoring, and learning resources provided Supportive team : Work with driven, thoughtful, and innovative people Learning & Development
Were committed to continuous growth. At Linnify, youll benefit from: Access to
role-specific certifications/courses Regular team knowledge-sharing sessions and mentoring opportunities Clear visibility into your progress and opportunities for advancement Flexible work schedule
and remote work days ESOP
(Employee Stock Ownership Plan) so that you grow with us Additional loyalty vacation days
(up to 28 total vacation days based on experience and time with us) Health package
via Regina Maria Clinic Meal tickets
(40 RON/day) Discounted gym subscription About Linnify
Linnify is a global technology partner that helps
visionary companies accelerate their digital development initiatives . With expertise in custom software and AI development, weve launched over 80 digital products across Europe and North America. Our mission is to deliver exceptional value fast through technology. We work closely with our clients to build scalable, user-centered solutions that drive meaningful impact. How to apply
Ready to shape the future of data at Linnify? Apply now and be part of something meaningful. Linnify is an equal opportunities employer.
We celebrate diversity and are committed to creating an environment where everyone thrives based on ability, potential, and passion. Join us, shape the future, and grow alongside some of the brightest minds in Cluj-Napoca. #J-18808-Ljbffr