Senior Data Engineer

Posted 23 Days Ago
11 Locations
Remote or Hybrid
Senior level
Artificial Intelligence • Software
The Role
Design, develop, and optimize enterprise data pipelines and lakehouse architecture using Databricks, Spark, and Delta Lake. Build ETL/ELT processes for banking data, improve cluster and query performance, establish data quality monitoring, and support regulatory compliance. Collaborate with technical and business stakeholders, document workflows, participate in code reviews, mentor junior engineers, and contribute to continuous improvement.
Summary Generated by Built In

Senior Databricks Engineer 

Who is Parser?

Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and Al enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.

We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, Al & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you.


How will you impact?

We are seeking an experienced Sr Databricks Engineer to join our growing data engineering team. This role will be instrumental in designing, developing, and maintaining our enterprise-level data platform using Databricks to support critical banking operations and analytics initiatives.

Your key responsibilities:

Your responsibilities include, but not limited to:

  • Design, develop, and optimize data pipelines using Databricks and Apache Spark.
  • Build scalable ETL/ELT processes to ingest, transform, and deliver data from various banking systems.
  • Implement data lakehouse architecture using Delta Lake for reliable data storage and processing.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Optimize Databricks cluster configurations and query performance for cost efficiency.
  • Develop and maintain data quality frameworks and monitoring solutions.
  • Implement security best practices and ensure compliance with banking regulations (PCI-DSS, SOX, GDPR).
  • Create and maintain technical documentation for data workflows and processes, mentor junior engineers, and participate in code reviews.

What you'll bring to the role:

Essential Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering or related roles.
  • 3+ years of hands-on experience with Databricks platform.
  • Strong proficiency in Apache Spark (PySpark/Scala) and expert-level SQL skills.
  • Experience with Delta Lake, data lakehouse architectures, and solid understanding of cloud platforms (AWS, Azure, or GCP).
  • Experience with banking or financial services data and regulatory requirements.
  • Knowledge of data modeling, data warehousing concepts, dimensional modeling, and strong problem-solving skills.

Desirable Requirements:

  • Databricks certification (Data Engineer Associate or Professional).
  • Experience with real-time streaming data processing (Kafka, Event Hubs), MLOps, or ML model deployment on Databricks.
  • Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines, DevOps, or data governance tools.

Location:

Colombia, Mexico, Argentina

You will receive:

  • The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
  • The opportunity to be part of an amazing, multicultural community of tech experts.
  • A highly competitive compensation package.
  • A flexible and hybrid working environment.

Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.

If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.

By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser's Privacy Notice for recruitment purposes.

Parser may use Al-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use Al to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.

Come and join our #ParserCommunity.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering or related roles
  • 3+ years of hands-on experience with the Databricks platform
  • Strong proficiency in Apache Spark, including PySpark or Scala
  • Expert-level SQL skills and experience with large-scale data processing
  • Experience with Delta Lake and data lakehouse architectures
  • Solid understanding of cloud platforms such as AWS, Azure, or GCP
  • Experience with banking or financial services data and regulatory requirements
  • Knowledge of data modeling, data warehousing concepts, and dimensional modeling
  • Strong problem-solving skills and attention to detail
  • Databricks certification, such as Data Engineer Associate or Professional
  • Experience with real-time streaming data processing using Kafka or Event Hubs
  • Knowledge of MLOps and ML model deployment on Databricks
  • Experience with Infrastructure as Code using Terraform or CloudFormation
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience with data governance tools and frameworks
  • Knowledge of Python data-processing libraries such as Pandas and NumPy
  • Understanding of banking products, risk management, or fraud detection systems
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The Company
HQ: London
174 Employees
Year Founded: 2018

What We Do

At Parser we help organisations leverage on digital to advance their business strategy. For us, creativity, talent, and passion are indispensable to succeed. This is why we are committed to building, nurturing, and empowering a diverse, multi-disciplinary environment, where every team member can grow professionally and achieve their ambitions, while helping our clients deliver amazing digital products. Thanks to our flexible, distributed model of global operation and the high calibre of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people across 4 continents. Our services: - Digital Strategy & Transformation We help you understand market trends, relevant technologies, and aligned with your business strategy we create your vision and set the digital direction. This enables you to focus efforts and integrate business and technology across your organisation. - Digital Portfolio Management Based on a clear vision and direction, we help you assess your position, execute your digital strategy and manage your portfolio. We do this by integrating a range of diverse business and technical practises, transforming your organisation in the process. - Product & Service Development We help you create new experiences by designing user journeys that bridge all of the relevant departments of your organisation. By harnessing our ecosystem of specialised talent, we can provide relevant and focused expertise on demand.

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