Lead Hr Data Lead Hr Data

Lead Data Software Engineer – Work From Home

AgileEngine is a top‑ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest‑growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

What you will do:

- Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals.

- Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment.

- Collect, process, and prepare large datasets for analysis, feature engineering, and model training.

- Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models.

- Optimize data storage, retrieval, and processing performance for ML workloads.

- Develop and maintain ETL (Extract, Transform, Load) processes and workflows.

- Manage data versioning, storage, and access control for ML datasets.

- Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments.

- Stay up‑to‑date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.

Must Haves:

- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

- Proven experience as a Data Engineer, preferably in a role supporting Data Scientists.

- Strong proficiency in programming languages such as Python, Java, or Scala.

- Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark).

- Experience with data warehousing solutions and data integration tools.

- Experience with data pipeline and workflow management tools: AWS Glue, Airflow, etc.

- Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment.

- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes).

- Excellent problem‑solving skills and a collaborative mindset.

- Excellent oral and written communication skills with a keen sense of customer service.

Nice to Haves:

- Experience in ad/marketing environment.

- Experience working with Data Lakes.

- Experience with Scala.

- Experience with Glue/EMR/Redshift/Airflow.

- Experience with Terraform.

Benefits:

- Professional growth – mentorship, TechTalks, and personalized growth roadmaps.

- Competitive USD‑based compensation, budgets for education, fitness, and team activities.

- Exciting projects with Fortune 500 enterprises and leading product brands.

- Flextime – work‑from‑home and office flexibility.

Location: Lisbon, Portugal. Work Schedule: Full‑time, Hybrid.

1200‑629 Lisboa, Lisboa LUZA PT/HITO Solutions

Senior Data Engineer – Team Lead & Project Delivery

We are looking for a Lead Data Engineer to design and maintain scalable data architectures and pipelines, ensuring high data quality and availability across complex environments.

Responsibilities:

- Design and implement scalable, secure, and resilient data architectures (on‑prem, cloud, or hybrid).

- Manage the full lifecycle of data projects, from requirements gathering to delivery and maintenance.

- Develop and optimize ETL processes for handling large volumes of structured and unstructured data.

- Maintain data pipelines and oversee ingestion processes across multiple platforms.

- Promote best practices in data engineering, including version control, automated testing, CI/CD, and monitoring.

- Collaborate with Data Governance, Analytics, and AI teams to ensure data consistency and usability.

- Provide hands‑on expertise in ETL development, pipeline maintenance, and data ingestion using Azure Data Lake and Databricks.

- Promote agile and DevOps practices within the team.

Requirements:

- Minimum of 10 years experience in Data Engineering.

- Experience leading multidisciplinary teams.

- Experience in end‑to‑end project delivery, from requirements gathering to deployment.

- Strong communication skills.

Stack Tech:

- Python, Scala, SQL, Spark, MongoDB, PostgreSQL, OpenShift, Azure Data Lake, Databricks.

Complementary Requirements:

- Familiarity with emerging Big Data technologies.

- Experience in designing data architectures.

- Ability to promote agile and DevOps practices.

Benefits:

- Important: Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.

- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.

- #VisionaryFuture – Build the future, join our living ecosystem

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