Databricks Data Engineer/Solution Architect

il y a 1 jour


Senningerberg, Luxembourg Jetfly Temps plein

Jetfly Group is a leading European private aviation group headquartered in Luxembourg. With over 25 years of experience and more than 500 passionate professionals, we bring together specialized business units offering a complete aviation ecosystem, including fractional ownership, charter services, aircraft management, maintenance, and training.

Based in Luxembourg,
 

Jetfly Aviation

is the fractional ownership arm of the Jetfly Group. We operate a fleet of 70 Pilatus aircraft (PC-12 and PC-24), along with the Cirrus SF50, combining Swiss precision and exceptional service to deliver a refined private flying experience,  exclusively for over 450 co-owners across Europe.

We are looking for a

Databricks Data Engineer / Solution Architect

who can lead the design, implementation, and optimization of our data platform and pipelines. This person will be both a strategic thinker and a doer: designing

architecture

s

, standards, best practices,

and

writing code, building pipelines, integrating data sources, ensuring reliability,

performance

and security.

Key Responsibilities

  • Lead the end-to-end design, development,

deployment

and maintenance of data pipelines using

Databricks

, ensuring best practices in architecture, performance, scalability, reliability, and cost optimization.

  • Architect solutions for ingestion, transformation, storage and serving layers (

e.g.

streaming & batch), ensuring they meet business requirements (latency, volume, quality).

  • Collaborate with stakeholders (operations, finance, safety, etc.) to understand business needs and translate them into technical

requirement

and data models.

  • Define and enforce data governance, data quality, metadata management, security, access controls, lineage.

  • Work with cloud infrastructure (

Az

ure

) to provision,

monitor

and

optimize

data

compute

, storage

, and networking

resources.

  • Implement CI/CD, testing, monitoring

,

alerting for

data pipelines.

  • Mentor and coach more junior engineers, define best practices, code reviews

, knowledge

sharing.

  • Stay

current with developments in Databricks, distributed systems, data engineering trends

-

propose innovations.

  • Support data architecture decisions: what tools, frameworks, storage formats, etc. are

appropriate

.

  • Troubleshoot performance issues, data discrepancies, failures; ensure high availability, disaster recovery.

Technical Skills:

  • Deep hands-on experience with

Databricks

(or similar platforms like Spark on cloud), including notebooks, jobs, clusters, Delta Lake or equivalent.

  • Strong

proficiency

in

data engineering

: building batch & streaming pipelines; ETL/ELT; data modeling; experience with both structured & unstructured data.

  • Solid programming skills in Python,

Scala

or SQL (at least two).

  • Experience with cloud platforms (ideally

Azure

),

infrastructure as

code (Terraform, ARM templates, or similar).

  • Familiarity with data storage technologies: relational databases, NoSQL, data lakes, Delta Lake / Parquet / parquet-like formats.

  • Understanding of

distributed computing, partitioning, scaling

, performance

tuning.

  • Hands-on experience with data governance, data lineage, data quality frameworks.

  • Experience with CI/CD tooling, version control, automated testing,

monitoring

and

alerting.

Soft Skills:

  • Excellent problem-solving mindset: able to decompose complex business problems, propose pragmatic

and

scalable solutions.

  • Ownership

and

accountability

:

takes

responsibility end-to-end.

  • Collaboration

and

teamwork:

works well in cross-functional teams, mentoring/knowledge sharing.

  • Adaptability: able to move fast, learn

new technologies

/ approaches, adjust to changing priorities.

  • Detail-orientation: ensuring data quality, reliability

, security

.

Nice-to-Have

:

  • Experience in aviation or other regulated industries (safety, compliance, operations).

  • Experience with machine learning pipelines or real-time analytics.

  • Knowledge of Luxembourg or European data regulations (GDPR, etc.).

  • Experience with BI tools / data visualization for stakeholders.

  • Certifications in Databricks, cloud providers.


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