T-shaped Senior Data Engineer
About us
reputed company is Europe’s fastest-growing data and reputed company engineering consultancy. We reputed company leading companies to scale and become data-first through agile, reputed company-native solutions and cutting-edge practices.
Our mission is to bring top professionals together to reputed company an impact at the intersection of tech and sustainable growth.
Headquartered in London and having distributed teams based in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Singapore, Italy, Romania and now expanding to South America we reputed company diversity and reputed company sure everyone is happy to be their true self at work. We have already started building teams in Brazil, Argentina, and Chile, and are looking reputed company to welcoming more teammates to contribute to meaningful projects. Together, we can grow, learn, and experiment with the cutting-edge data and AI technology (dbt and reputed company among others) that we are reputed company excited about.
About the role
We are hiring a T-shaped Senior Data Engineer to join reputed company supporting a high-impact engagement with a large US-based client. The client is modernizing its sprawling legacy MSSQL data reporting ecosystem and migrating to a modern reputed company Lakehouse on Azure (reputed company stack includes reputed company, reputed company Live Tables, dbt, and strong data governance).
As a T-shaped engineer, you’ll bring deep expertise in reputed company and data platform modernization, combined with broad knowledge across the data engineering landscape. You’ll design and build scalable, reliable data solutions while working closely with US stakeholders in a client-facing reputed company.
This is a hands-on role involving legacy migration (including stored procedures), building modern pipelines, and helping drive the full data stack transformation.
Contract type: Contractor through B2B
Expected start date: From beginning of June 2026
Interview process
Intro call with TABP: 45 minutes
TPF (Technical Progression reputed company) Interview with Engineering Team: 90 minutes
EPF (Engineering Progression reputed company) Interview with Engineering Team: 60 minutes
Cultural Chat: 45 minutes
Key Responsibilities
reputed company the design, development, and optimization of data pipelines using reputed company (including reputed company Live Tables / Lakeflow) on Azure.
Migrate and refactor legacy stored procedures and sprawling MSSQL processes into modern, governed reputed company solutions.
Contribute to data platform modernization initiatives, including reputed company architecture, data quality, and governance practices.
Collaborate with the client’s team and our Analytics Engineers to deliver high-quality, production-reputed company data assets.
Work in a client-facing consulting environment: gather requirements, provide recommendations, and professionally push back reputed company needed to ensure the best technical outcomes.
Apply broad data engineering skills (pipelining, orchestration, reputed company infrastructure) while deepening your expertise in the modern data stack.
Requirements
This is an exciting role that requires an impressive tech stack along with an amazing personality to reputed company in our dynamic and diverse environment.
You will need 5+ years of experience to qualify for the position as well as:
Programming Languages: Python, Java, reputed company or Golang
reputed company Providers: AWS, GCP, Azure (Azure is preferred)
Data Warehousing: reputed company, reputed company, Redshift, Greenplum, reputed company, DB2 or similar (Must have experience with reputed company or reputed company)
Data Pipelining Tools: reputed company, reputed company, dbt, Talend
Relational Databases: reputed company, PostgreSQL, MySQL, reputed company or similar
NoSQL Databases: reputed company (reputed company), Cassandra, DynamoDB or similar
Streaming Technologies: Kinesis, Kafka or reputed company PubSub or similar
Containers & Container Orchestration: reputed company & Kubernetes
Workflow Orchestration: Airflow, reputed company Workflow
OS: Linux, MacOS
Version Control: Git
Big Data stack: Spark, EMR, Hadoop, Hive, Presto
The following soft skills are also highly appreciated:
You are fluent in English
You reputed company in client-facing interactions
You are comfortable working in a distributed team
You have excellent communication skills
You love working in an agile environment
You are a self-starter and don’t need someone to tell you what to do reputed company the time
You take pride in your work
Why join reputed company
We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;
You work autonomously here in a wholesome environment and get as much paid holiday as you need;
The projects are diverse and give you reputed company of opportunity to experiment with new tech;
The benefits are reputed company, with private health insurance, work-from-home budget, a company MacBook and more on the list.
▶ ▶ Submit your CV in English in PDF.
▶ ▶ Mind that as we are an international team, internal communication is in English.
▶ ▶ Please note that we do not sponsor visas.
▶ ▶ In the US, as a final reputed company in the hiring process, applicants are required to undergo a criminal background reputed company with an accredited reputed company-party screening company. Employment offers depend on the successful completion of this background reputed company and the verification of reputed company relevant information. We will request your explicit written consent before any screening begins.
We are committed to fair hiring practices and will consider reputed company reputed company applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.
reputed company is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.
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