Senior Data Engineer
Modern Solutions BV
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Posted 5 hrs ago
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Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
About the Role:
Modern Solutions helps clients design, build, and scale cloud-native data platforms that power business transformation. We work across industries to unify complex data sources, enable real-time analytics, and leverage AI and machine learning to deliver measurable business impact.
We are seeking a Senior Data Engineer with proven leadership experience to guide a cross-functional team of data engineers, scientists, and DevOps specialists. This role will focus on architecting and implementing scalable data solutions that support analytics, AI, and customer-facing digital experiences.
Key Responsibilities:
1- Lead & Mentor: Guide a team of data engineers, data scientists, and DevOps professionals; establish best practices and ensure delivery quality.
2- Data Architecture: Design and maintain modern, scalable data architectures integrating multiple structured and unstructured data sources.
3- ETL & Streaming: Build robust pipelines using Kafka (or equivalent), Spark, Airflow, or dbt to support both batch and real-time ingestion.
4- Cloud Platforms: Develop across AWS, GCP, and Azure with hands-on expertise in Snowflake, Databricks, and BigQuery.
5- AI/ML Enablement:
a. Build and optimize feature pipelines for AI/ML models.
b. Support deployment, monitoring, and retraining workflows for ML models.
c. Collaborate with data science teams to make production-grade models scalable and reliable.
d. APIs & Integrations: Architect secure, performant APIs for system-to-system data sharing and real-time inference.
6- Analytics & BI: Enable self-service analytics in Power BI, Looker Studio, or Tableau, ensuring governed, high-quality data.
7- Digital Analytics & Marketing Data:
a. Integrate and normalize data from GA4, Adobe Analytics, GTM, and server-side tracking frameworks.
Build data pipelines from Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, DV360 and other paid media sources.
b. Ingest social listening and customer feedback platforms (Sprinklr, Brandwatch, Talkwalker, Birdeye) into the data ecosystem.
c. Ensure end-to-end visibility across marketing, web, and customer data for attribution and optimization.
8- Governance & Security: Implement data governance, lineage, and compliance practices aligned with SOC2, ISO27001, GDPR, and industry standards.
What We re Looking For:
1- 5+ years of experience in data engineering, with at least 2 years in a senior/lead capacity.
2- Strong experience in building and managing data pipelines (batch + streaming).
3- Hands-on expertise in Kafka, Spark, or equivalent ETL tools.
4- Advanced skills in SQL and exposure to NoSQL databases (MongoDB, DynamoDB, Cassandra).
5- Proficiency with at least one major cloud provider (AWS, GCP, Azure).
6- Experience with modern data platforms: Databricks, Snowflake, BigQuery.
7- Solid programming background in Python, Scala, or Java.
8- Familiarity with containerization and CI/CD (Docker, Kubernetes, Terraform, GitHub/GitLab pipelines).
9- Experience in operationalizing AI/ML models and working with feature stores.
10- Working knowledge of digital analytics (GA4, Adobe Analytics) and experience integrating marketing/ad tech data sources into data warehouses.
11- Strong communication skills with ability to bridge technical detail and business impact.
Preferred Skills:
1- Experience in multi-brand, high-scale environments with millions of data events per day.
2- Familiarity with customer 360 initiatives, journey orchestration, and personalization use cases.
3- Knowledge of AI-driven data quality, anomaly detection, and predictive analytics.
4- Understanding of attribution models, campaign optimization, and martech ecosystems.
What We Offer
1- Opportunity to lead data engineering within AI-enabled, analytics-rich transformation projects.
2- Dynamic, cross-disciplinary environment across industries and cloud ecosystems.
3- Competitive salary and benefits.
4- Hybrid/flexible working culture.
Modern Solutions helps clients design, build, and scale cloud-native data platforms that power business transformation. We work across industries to unify complex data sources, enable real-time analytics, and leverage AI and machine learning to deliver measurable business impact.
We are seeking a Senior Data Engineer with proven leadership experience to guide a cross-functional team of data engineers, scientists, and DevOps specialists. This role will focus on architecting and implementing scalable data solutions that support analytics, AI, and customer-facing digital experiences.
Key Responsibilities:
1- Lead & Mentor: Guide a team of data engineers, data scientists, and DevOps professionals; establish best practices and ensure delivery quality.
2- Data Architecture: Design and maintain modern, scalable data architectures integrating multiple structured and unstructured data sources.
3- ETL & Streaming: Build robust pipelines using Kafka (or equivalent), Spark, Airflow, or dbt to support both batch and real-time ingestion.
4- Cloud Platforms: Develop across AWS, GCP, and Azure with hands-on expertise in Snowflake, Databricks, and BigQuery.
5- AI/ML Enablement:
a. Build and optimize feature pipelines for AI/ML models.
b. Support deployment, monitoring, and retraining workflows for ML models.
c. Collaborate with data science teams to make production-grade models scalable and reliable.
d. APIs & Integrations: Architect secure, performant APIs for system-to-system data sharing and real-time inference.
6- Analytics & BI: Enable self-service analytics in Power BI, Looker Studio, or Tableau, ensuring governed, high-quality data.
7- Digital Analytics & Marketing Data:
a. Integrate and normalize data from GA4, Adobe Analytics, GTM, and server-side tracking frameworks.
Build data pipelines from Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, DV360 and other paid media sources.
b. Ingest social listening and customer feedback platforms (Sprinklr, Brandwatch, Talkwalker, Birdeye) into the data ecosystem.
c. Ensure end-to-end visibility across marketing, web, and customer data for attribution and optimization.
8- Governance & Security: Implement data governance, lineage, and compliance practices aligned with SOC2, ISO27001, GDPR, and industry standards.
What We re Looking For:
1- 5+ years of experience in data engineering, with at least 2 years in a senior/lead capacity.
2- Strong experience in building and managing data pipelines (batch + streaming).
3- Hands-on expertise in Kafka, Spark, or equivalent ETL tools.
4- Advanced skills in SQL and exposure to NoSQL databases (MongoDB, DynamoDB, Cassandra).
5- Proficiency with at least one major cloud provider (AWS, GCP, Azure).
6- Experience with modern data platforms: Databricks, Snowflake, BigQuery.
7- Solid programming background in Python, Scala, or Java.
8- Familiarity with containerization and CI/CD (Docker, Kubernetes, Terraform, GitHub/GitLab pipelines).
9- Experience in operationalizing AI/ML models and working with feature stores.
10- Working knowledge of digital analytics (GA4, Adobe Analytics) and experience integrating marketing/ad tech data sources into data warehouses.
11- Strong communication skills with ability to bridge technical detail and business impact.
Preferred Skills:
1- Experience in multi-brand, high-scale environments with millions of data events per day.
2- Familiarity with customer 360 initiatives, journey orchestration, and personalization use cases.
3- Knowledge of AI-driven data quality, anomaly detection, and predictive analytics.
4- Understanding of attribution models, campaign optimization, and martech ecosystems.
What We Offer
1- Opportunity to lead data engineering within AI-enabled, analytics-rich transformation projects.
2- Dynamic, cross-disciplinary environment across industries and cloud ecosystems.
3- Competitive salary and benefits.
4- Hybrid/flexible working culture.
Company Industry
- Recruitment
- Placement Firm
- Executive Search
Department / Functional Area
- IT Software
Keywords
- Senior Data Engineer
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Modern Solutions BV