Data Engineer
At a glance
Mid-level Data Engineering role at Àlber Blanc Capital.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after data pipelines that process large datasets
- Take responsibility for data quality from source through delivery
- Improve how data is stored and retrieved across data lakes
- Set up ETL/ELT flows, orchestration and CI/CD for data jobs
- Work with the Machine Learning team and others to clarify data needs and make data easier to use
What you bring
- A STEM degree from a leading university, or a strong record as a data analyst, researcher or data scientist
- A solid grounding in probability, statistics, mathematics and algorithms
- Strong practical Python skills, including familiarity with libraries such as pandas or polars
- Confidence analyzing large datasets
Who this fits
This mid-level role suits someone comfortable working hands-on with Python, databases and orchestration alongside a Machine Learning team. Experience with distributed computing frameworks such as Ray is a plus.
From the employer
As a Data Engineer at Alber Blanc, you will be responsible for working with orchestrators and databases together with our Machine Learning team.Strong Python, deep understanding of libraries and data formats would be the best fit for this position.
Responsibilities
Design, build, and maintain scalable data pipelines to work with large datasets
Own data quality end-to-end
Develop and optimize data storage and retrieval layers across data lakes
Implement robust ETL/ELT workflows, orchestration, and CI/CD for data jobs
Partner closely with different teams to define data requirements, improve data usability, and reduce time-to-insight
Continuously evaluate and adopt modern data tools and architectures
Requirements
STEM degree from one of top-tier universities OR proven track of success as Data Analyst/Researcher/Data Scientist
Advanced understanding of probability, statistics, math and algorithms
Strong analytical skills for working with large datasets
Confident, hands-on level of Python and common libraries (pandas, polars, etc)
Nice to have
Personal achievements such as ICPC, IMC, IOI, codeforces red+, Kaggle, etc.
Experience with distributed computing frameworks (e.g., Ray, etc)
What we offer
Result-oriented bonuses along with extraordinary salary
Transparent processes and lack of red-tape
Competitive environment with an opportunity to make decisions and change the company
One of the best level of expertise on the market
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Data Engineering
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