Senior Associate, Data Engineer (ETL Cloud Data Platforms)

Reposted 11 Days Ago
Be an Early Applicant
Hiring Remotely in Argentina
Remote
Mid level
Consulting
The Role
The Senior Associate Data Engineer will design and maintain ETL/ELT pipelines, build data workflows, and work with analytics teams to deliver data solutions.
Summary Generated by Built In

Ankura is a team of excellence founded on innovation and growth.

Practice Overview:
Ankura’s Digital Practice includes client services in the areas of Digital Transformation, Data Science, Information Technology, and Cyber Security.  Our Digital Transformation practice helps our clients rapidly modernize across levels of digital maturity. 

Role Overview: 

We are seeking a Senior Associate Data Engineer to design, build, and maintain scalable ETL/ELT pipelines on modern cloud data platforms. This is a highly hands-on role for an engineer who is detail-oriented, delivery-focused, and comfortable working across multiple client environments. The ideal candidate understands how data platforms enable analytics and business outcomes and is motivated to grow toward technical leadership.

This role is ideally remote based in Buenos Aires but other locations within Argentina are possible. This position will be employed via a 3rd party payroll and will be Senior Associate level equivalent within Ankura’s structure.

Responsibilities: 

  • Design, develop, and maintain ETL/ELT pipelines on cloud-based data platforms.

  • Build data ingestion, transformation, and orchestration workflows using tools such as Azure Data Factory, Airflow, Fivetran, or similar.

  • Develop transformations and data processing logic using platforms such as Databricks, Snowflake, or equivalent.

  • Work with structured and semi-structured data from multiple source systems (APIs, databases, files).

  • Collaborate with analytics, BI, and data science teams to deliver curated, analytics-ready datasets.

  • Implement data quality checks, logging, monitoring, and error handling.

  • Participate in technical design discussions, effort estimates, and sprint planning.

  • Produce clear and maintainable technical documentation.

Qualifications: 

  • 2–6+ years of experience in data engineering or ETL development.

  • Hands-on experience with cloud data platforms (Azure, AWS, or GCP).

  • Experience with ETL / orchestration tools (e.g., Data Factory, Airflow, Informatica, Fivetran).

  • Experience with Databricks, Snowflake, or similar analytics platforms.

  • Strong proficiency in Python and SQL.

  • Solid understanding of data modeling, data warehousing, and ETL best practices.

  • Strong attention to detail and disciplined engineering practices.

  • Preferred to have experience with CI/CD for data pipelines.

  • Familiarity with dbt or transformation frameworks is preferred

  • Preferred to have exposure to data governance, access control, and security concepts.

#LI-MJ1

#LI-Hybrid

*

Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email [email protected] or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

Skills Required

  • 2-6+ years of experience in data engineering or ETL development.
  • Hands-on experience with cloud data platforms (Azure, AWS, or GCP).
  • Experience with ETL / orchestration tools (e.g., Data Factory, Airflow, Informatica, Fivetran).
  • Experience with Databricks, Snowflake, or similar analytics platforms.
  • Strong proficiency in Python and SQL.
  • Solid understanding of data modeling, data warehousing, and ETL best practices.

Ankura Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ankura and has not been reviewed or approved by Ankura.

  • Healthcare Strength Healthcare coverage is described as strong, with medical, dental, and vision plans frequently characterized as solid or excellent. Access to life/disability coverage and HSA/FSA options further reinforces the sense of comprehensive core insurance.
  • Parental & Family Support Parental leave is repeatedly characterized as generous, with examples citing meaningful paid time for both birthing and non-birthing parents. This benefit stands out as a differentiator within the overall package.
  • Fair & Transparent Compensation Pay is often characterized as fair or good in certain roles and levels, particularly in specialized practices and more senior bands. A portion of the content frames compensation as competitive for a mid-tier advisory context, even if not top-of-market.

Ankura Insights

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The Company
Ann Arbor, MI
1,500 Employees
Year Founded: 2014

What We Do

Ankura Consulting Group, LLC is an independent global expert services and advisory firm that delivers services and end-to-end solutions to help clients at critical inflection points related to change, risk, disputes, finance, performance, distress, and transformation. The Ankura team consists of more than 1,500 professionals in more than 30 offices globally who are leaders in their respective fields and areas of expertise. Collaborative lateral thinking, hard-earned experience, expertise, and multidisciplinary capabilities drive results and Ankura is unrivaled in its ability to assist clients to Protect, Create, and Recover Value.

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