Senior Data Engineer with AWS
Bucharest
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain batch and real-time data pipelines
Architect and implement cloud-native data platforms on AWS
Work with data scientists, analysts and product teams on data requirements
Mentor colleagues and provide technical leadership in the team
Develop documentation, architecture diagrams and operational best practices
From the employer’s posting
You will design, build, and maintain scalable batch and real-time data pipelines
You will architect and implement cloud-native data platforms on AWS
You will collaborate closely with Data Scientists, Data Analysts, Product Teams, and Software Engineers
You will contribute to technical leadership within the team, mentoring colleagues
You will develop and maintain documentation, architecture diagrams, and operational best practices
Tools in this posting
- Bash
- Python
- SQL
- AWS
- Datadog
- Delta Lake
- Docker
- DynamoDB
- Grafana
- Iceberg
- Kafka
- Kubernetes
- Redshift
- S3
- Spark
- Terraform
- Airflow
- PySpark
Source — Tool mentions in context
- Experience working with orchestration and workflow tools such as AWS Step Functions, Apache Airflow, or AWS Managed Workflows for Apache Airflow (MWAA). - Strong experience with Unix/Linux environments and Bash scripting for automation and operational support. - Experience implementing security, governance, and access control best practices in AWS environments.
- 8+ years of hands-on experience in Data Engineering, building and operating large-scale data platforms and pipelines in cloud environments. - Strong programming skills in Python and SQL, with extensive experience using Spark, PySpark, Spark SQL, or other distributed processing frameworks. - Proven experience designing and implementing end-to-end data solutions on AWS.
WHAT YOU CAN EXPECT - You will design, build, and maintain scalable batch and real-time data pipelines, processing structured, semi-structured, and unstructured data using AWS-native services and distributed data processing frameworks. - You will work on innovative and fast-paced digital transformation projects for global customers, delivering data-driven solutions that create measurable business value.
- You will work on innovative and fast-paced digital transformation projects for global customers, delivering data-driven solutions that create measurable business value. - You will architect and implement cloud-native data platforms on AWS, enabling efficient data ingestion, transformation, storage, and analytics at scale. - You will leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Amazon Kinesis, and DynamoDB to build robust and cost-efficient data solutions.
- You will architect and implement cloud-native data platforms on AWS, enabling efficient data ingestion, transformation, storage, and analytics at scale. - You will leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Amazon Kinesis, and DynamoDB to build robust and cost-efficient data solutions. - You will collaborate closely with Data Scientists, Data Analysts, Product Teams, and Software Engineers to identify data requirements and translate them into scalable technical solutions.
- Strong programming skills in Python and SQL, with extensive experience using Spark, PySpark, Spark SQL, or other distributed processing frameworks. - Proven experience designing and implementing end-to-end data solutions on AWS. - Strong hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon EMR Amazon RDS Amazon DynamoDB AWS IAM Amazon VPC Amazon CloudWatch
- Proven experience designing and implementing end-to-end data solutions on AWS. - Strong hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon EMR Amazon RDS Amazon DynamoDB AWS IAM Amazon VPC Amazon CloudWatch - Experience building modern ETL/ELT frameworks and data integration solutions across multiple source systems.
- Solid understanding of data modeling, data warehousing, dimensional modeling, and data architecture principles. - Experience working with orchestration and workflow tools such as AWS Step Functions, Apache Airflow, or AWS Managed Workflows for Apache Airflow (MWAA). - Strong experience with Unix/Linux environments and Bash scripting for automation and operational support.
- Strong experience with Unix/Linux environments and Bash scripting for automation and operational support. - Experience implementing security, governance, and access control best practices in AWS environments. - Excellent communication skills and experience working in cross-functional Agile teams.
- Experience with real-time and event-driven architectures using Amazon Kinesis, Apache Kafka, Amazon MSK, or similar streaming technologies. - Hands-on experience with Data Lake and Lakehouse architectures, including AWS Lake Formation, Apache Iceberg, Delta Lake, or Apache Hudi. - Experience with Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
- Hands-on experience with Data Lake and Lakehouse architectures, including AWS Lake Formation, Apache Iceberg, Delta Lake, or Apache Hudi. - Experience with Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK. - Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or AWS CodePipeline.
- Experience with Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK. - Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or AWS CodePipeline. - Knowledge of containerization and orchestration technologies such as Docker, Amazon ECS, Amazon EKS, and Kubernetes.
- Familiarity with monitoring and observability tools such as CloudWatch, Grafana, Prometheus, and Datadog. - AWS certifications such as: AWS Certified Data Engineer – Associate AWS Certified Solutions Architect – Associate/Professional AWS Certified Developer – Associate - Experience in consulting environments and customer-facing projects.
- Knowledge of containerization and orchestration technologies such as Docker, Amazon ECS, Amazon EKS, and Kubernetes. - Familiarity with monitoring and observability tools such as CloudWatch, Grafana, Prometheus, and Datadog. - AWS certifications such as: AWS Certified Data Engineer – Associate AWS Certified Solutions Architect – Associate/Professional AWS Certified Developer – Associate
- Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or AWS CodePipeline. - Knowledge of containerization and orchestration technologies such as Docker, Amazon ECS, Amazon EKS, and Kubernetes. - Familiarity with monitoring and observability tools such as CloudWatch, Grafana, Prometheus, and Datadog.
Nice to Have - Experience with real-time and event-driven architectures using Amazon Kinesis, Apache Kafka, Amazon MSK, or similar streaming technologies. - Hands-on experience with Data Lake and Lakehouse architectures, including AWS Lake Formation, Apache Iceberg, Delta Lake, or Apache Hudi.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 25, 2026 · 128 days ago
- Recorded sightings
- 61
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Join our global team of experts
At Diconium, you will work on projects that connect software, data, AI, and human expertise to create digital products, services, and operating models that deliver measurable business impact. Together with 2,500 experts across our international teams, you will help build, run, and scale intelligence across the full value chain.
In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. Our hybrid workplace also provides a high degree of flexibility.
WHAT YOU CAN EXPECT
- You will design, build, and maintain scalable batch and real-time data pipelines, processing structured, semi-structured, and unstructured data using AWS-native services and distributed data processing frameworks.
- You will work on innovative and fast-paced digital transformation projects for global customers, delivering data-driven solutions that create measurable business value.
- You will architect and implement cloud-native data platforms on AWS, enabling efficient data ingestion, transformation, storage, and analytics at scale.
- You will leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Amazon Kinesis, and DynamoDB to build robust and cost-efficient data solutions.
- You will collaborate closely with Data Scientists, Data Analysts, Product Teams, and Software Engineers to identify data requirements and translate them into scalable technical solutions.
- You will evaluate and introduce new technologies, frameworks, and best practices in data engineering to continuously improve platform performance, reliability, and maintainability.
- You will contribute to technical leadership within the team, mentoring colleagues, sharing expertise, and supporting the growth of our data engineering capabilities.
- You will develop and maintain documentation, architecture diagrams, and operational best practices for data platforms and pipelines.
WHAT YOU BRING ALONG
Must Have
- 8+ years of hands-on experience in Data Engineering, building and operating large-scale data platforms and pipelines in cloud environments.
- Strong programming skills in Python and SQL, with extensive experience using Spark, PySpark, Spark SQL, or other distributed processing frameworks.
- Proven experience designing and implementing end-to-end data solutions on AWS.
- Strong hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon EMR Amazon RDS Amazon DynamoDB AWS IAM Amazon VPC Amazon CloudWatch
- Experience building modern ETL/ELT frameworks and data integration solutions across multiple source systems.
- Solid understanding of data modeling, data warehousing, dimensional modeling, and data architecture principles.
- Experience working with orchestration and workflow tools such as AWS Step Functions, Apache Airflow, or AWS Managed Workflows for Apache Airflow (MWAA).
- Strong experience with Unix/Linux environments and Bash scripting for automation and operational support.
- Experience implementing security, governance, and access control best practices in AWS environments.
- Excellent communication skills and experience working in cross-functional Agile teams.
Nice to Have
- Experience with real-time and event-driven architectures using Amazon Kinesis, Apache Kafka, Amazon MSK, or similar streaming technologies.
- Hands-on experience with Data Lake and Lakehouse architectures, including AWS Lake Formation, Apache Iceberg, Delta Lake, or Apache Hudi.
- Experience with Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
- Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or AWS CodePipeline.
- Knowledge of containerization and orchestration technologies such as Docker, Amazon ECS, Amazon EKS, and Kubernetes.
- Familiarity with monitoring and observability tools such as CloudWatch, Grafana, Prometheus, and Datadog.
- AWS certifications such as: AWS Certified Data Engineer – Associate AWS Certified Solutions Architect – Associate/Professional AWS Certified Developer – Associate
- Experience in consulting environments and customer-facing projects.
- Experience working in Agile/Scrum delivery environments.
WHAT WE HAVE TO OFFER
Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!
Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.
Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.
Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.
Comprehensive Benefits: Enjoy public transport tickets, job bikes, access to exclusive Volkswagen employee conditions when leasing or purchasing a vehicle, health offers, supplementary insurances, a pension plan and various discounts.
WHAT WE VALUE
At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.
If you have any questions, feel free to reach out.
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Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bucharest
At Diconium, you will work on projects that connect software, data, AI, and human expertise to create digital products, services, and operating models that deliver measurable business impact. Together with 2,500 experts across our international teams, you will help build, run, and scale intelligence across the full value chain. In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. Our hybrid workplace also provides a high degree of flexibility. WHAT YOU CAN EXPECT
More source context
Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community. Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals. Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.
- Work authorization
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