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Contract Senior Data Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Location: European Union (Remote) Department: Engineering
Listed location: Remote EU
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingAs a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team.
Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client's business.
Build core data infrastructure: pipelines, APIs and data modelling
Instrument systems for performance and enhance them over time
Choose and implement technologies for batch processing and data streaming
Apply secure authentication patterns to data offerings
Coach and mentor other engineers
From the employer’s posting
As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns.
Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach & mentor other engineers to support the growth of their technical expertise.
building core infrastructure software (pipelines, APIs, data modelling)
Your work will include instrumenting systems for performance, and enhancement throughout
choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming
using secure authentication patterns
you will coach & mentor other engineers
What you’ll bring
All qualificationsCore experience
- Proven experience writing maintainable, performant Python
- Experience building data pipelines with dbt, Kafka, Spark, Kinesis, Lambda, Airflow or similar
- Deep knowledge of complex SQL, including CTEs and window functions
- Understanding of data modelling patterns
- End-to-end monitoring and alerting experience (CloudWatch, Datadog, etc.)
Qualification wording
Proven experience writing highly maintainable, performant Python code
Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar)
Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance
Understanding of Data Modelling patterns
Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.)
About YLD
Our purpose is to help our clients develop the capabilities they need to outperform their competitors.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
YLD is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Datadog
- dbt
- Kafka
- Spark
- Airflow
Where the posting names them
Technical competencies: - Proven experience writing highly maintainable, performant Python code; - Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar);
- Understanding of Data Modelling patterns; - Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance; - Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.).
- Proven experience writing highly maintainable, performant Python code; - Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar); - Understanding of Data Modelling patterns;
- Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance; - Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.). Non-Technical competencies:
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Location: European Union (Remote)
Department: Engineering
Employment: B2B Contract
Duration: 3 Months (to start with)
About YLD:
Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.
About the role:
As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns.
Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach & mentor other engineers to support the growth of their technical expertise.
Technical competencies:
- Proven experience writing highly maintainable, performant Python code;
- Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar);
- Understanding of Data Modelling patterns;
- Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance;
- Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.).
Non-Technical competencies:
- Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
- Comfortable working in a dynamic production environment and taking care of client expectations effectively;
- Distinct customer focus and quality mindset;
- Experience working closely with engineering leadership and architects to deliver high-quality solutions;
- Experience maintaining a high degree of ownership and transparency in deliverables;
- An exemplar of YLD’s brand and safe-guarder of our reputation;
- Exceptional communication skills, able to communicate complex ideas simply
Our typical Recruitment Process looks like this:
- 1st Interview with someone from the Talent team (30/45 mins)
- Technical Interview with our Senior Developers (1h30)
- Call with the Client Partner (30 mins)
We live and breathe our values, and know you will too:
- Growing every day
- Including everyone
- Relationships built on honesty and ethics
- Inspiring solutions
- Winning together
We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. Likewise, we also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote EU
Location: European Union (Remote) Department: Engineering
More source context
- Winning together We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. Likewise, we also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.