If you received this vacancy from our recruiters — read our Privacy Notice .

Technology stack
Java, Python, SQL (Oracle and PostgreSQL), AWS (Glue, Athena, Redshift), dbt, Maven, Git

Project overview
The program is a multi phase data migration initiative replacing legacy capital markets systems with a modern platform ecosystem. It includes critical datasets across custody, clearing and settlement, derivatives processing, and CCP operations. The project spans 18 months and follows an incremental approach, with a strong emphasis on data integrity, reconciliation, and traceability.

Position overview
We are looking for a Senior Data Engineer to develop and optimize data pipelines within a large scale data migration program in a capital markets environment. This is a hands on, developer oriented role for someone with a strong software engineering background who has moved into Data Engineering and cloud data migration on AWS.
You will design and implement robust, scalable, production grade data pipelines, ensuring data quality, consistency, reconciliation, and traceability across multiple systems.

Responsibilities

Design and implement scalable ETL/ELT pipelines using AWS Glue, Python, and dbt.

Take a highly hands on role, spending most of your time coding and reviewing code.

Integrate data from multiple Oracle and PostgreSQL legacy systems into AWS.

Write and optimize complex SQL and Java/Python data transformation logic.

Define and enforce coding standards, testing practices, code reviews, CI/CD processes, and deployment procedures.

Guide and mentor mid level engineers through technical direction and code reviews.

Ensure data quality, consistency, integrity, reconciliation, and traceability.

Collaborate with data architects on target data models and transformation strategies.

Optimize pipelines for performance, scalability, and cost efficiency across AWS Glue, Athena, and Redshift.

Implement error handling, logging, monitoring, and observability.

Collaborate with data analysts and business stakeholders to ensure migrated data meets business requirements.

Troubleshoot complex data and code related issues and drive root cause analysis.

Contribute to data platform architecture and document technical solutions.

Requirements

Advanced Java skills with strong, production grade development experience.

Advanced SQL skills with Oracle and PostgreSQL, along with strong database knowledge.

Advanced Python skills for data processing and transformation.

Strong hands on experience with dbt or equivalent transformation frameworks.

Experience with Maven for build and dependency management.

Experience with Git and modern version control workflows.

Proven experience building production grade ETL/ELT pipelines at scale.

Strong experience with data migration to AWS Cloud, combined with a solid software development background.

Solid understanding of data modeling and data warehouse architectures.

Experience implementing CI/CD practices in data environments.

Strong problem solving skills and the ability to design scalable, maintainable solutions.

Fluency in Spanish, both written and spoken.

Nice to have

Experience with Spring or Spring Boot.

Experience with AWS Data Engineering services, including Glue, Athena, and Redshift.

Experience with Bash scripting.

Experience with Docker or Podman.

Experience with API design and integration.

Experience in capital markets,



including custody, clearing, settlement, derivatives, or CCP.

Experience working on large scale data migration or transformation programs.

Experience with Oracle legacy systems.

Understanding of data governance, data lineage, and metadata management.

Experience with observability and monitoring solutions.

Looking for Similar Opportunities?
Try AI chatbots with our ready-made prompt to discover similar roles that match your skills and interests.

We offer
Vacation
As per the laws of your country. We do ask you to take a proper rest

Health insurance
We help you to take out an insurance policy for you and your loved ones

According to the official calendar, regardless of the client’s schedule

Pleasant environment
Two large corporate parties and many small get-togethers for colleagues

Comfort service
Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract

What if I can’t find it?
Our vacancies are swept up like hotcakes. If you don’t find any vacancies that match your skills, let us know and we’ll try to help

Most wanted

Data Engineer with Analytics
Colombia Mexico Remote.LATAM Uruguay

As a Senior Data Engineer, you will be a technical cornerstone of the data platform team. You will be responsible for the end-to-end engineering of data pipelines, from ingestion to transformation, ensuring that the Snowflake warehouse is optimized for complex wealth management analytics

USA

We are seeking a skilled Data Engineer with experience in Databricks, Snowflake, SQL Server, and cloud technologies.

Bulgaria Cyprus Latvia Poland Romania Serbia

DataArt specialists work on the project in several areas related to the core business of the client. We are helping to develop a decision support system for investment analysts. The project includes development, optimization, and speeding up applications and databases.

FAQ for Candidates
Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

What does DataArt do, and which industries does it serve?
DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

What's the work-life balance like at DataArt? Does DataArt offer remote work options?
DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

At DataArt,



we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

What is the typical career path at DataArt?
There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

What can I expect in terms of compensation and benefits at DataArt?
DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get adaptable vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

How does DataArt approach employee retention and turnover?
At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

What is the interview process like, and how can I prepare?
Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

What skills and experience does DataArt look for in candidates?
DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

How does DataArt support learning and professional development?
At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

#J-18808-Ljbffr

📌 Senior Data Engineer (Ejido de la Finca)
🏢 DataArt
📍 Ejido de la Finca