Data Engineer

We are seeking a skilled

Senior / Lead Data Engineer

with expertise in cloud-native data pipeline development within Microsoft environments. The ideal candidate will have a strong background in data architecture, data modelling, and the ability to implement high-performance data solutions that support our business objectives.

Technical Skills:

Strong experience in end-to-end data architecture and design, including

ingestion ,

modeling ,

storage , and

orchestration

(ex. Medallion).

Proficiency in cloud-native engineering, with a focus on Microsoft technologies ( Fabric, Azure Data Factory, Synapse ) but open to other cloud platforms (AWS, Google Cloud) with comparable tools.

Hands-on experience with data warehousing and data lake solutions (e.g.,

BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift ).

Proficiency in programming languages such as

Python

(with data-related libraries: e.g. Pandas, Boto3),

SQL , or

Spark .

Strong knowledge of

RDBMS

(e.g., Oracle, MS SQL Server) or

NoSQL

databases (e.g., MongoDB, ElasticSearch, GBQ).

Experience with

DevOps/DataOps

practices, including CI/CD pipelines.

Ability to implement

data validation, lineage, documentation, and monitoring

at scale.

Proven ability to optimize

pipelines

and storage solutions for

performance, cost, and reliability .

Soft Skills:

Ability to evaluate trade-offs and make clear, defensible technical choices.

Translate complex engineering decisions into clear, accurate explanations for non-technical stakeholders.

Uplift and mentor mid/junior engineers, enforce standards, and foster a collaborative technical culture.

Break down ambiguous, complex problems into clear, actionable steps and drive them to resolution.

Take responsibility for outcomes, anticipate issues, and drive long-term platform evolution.

Work model:

2 days per week in the office and 3 days at home.

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