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Data Engineer

4 months ago

London, Greater London, United Kingdom Validis Full time

Role:
Mid-Level Data Engineern

Business Area:
Engineering/ TechnologynReporting to: Head of DatanLocation: Hybrid/Remote


About ValidisnValidis is a dynamic fintech company with a leading software platform, built for the extraction and standardisation of accounting data.

Validis is both a B2B and SasS with operations across the UK, US & Australia.

We specialize in providing quality data for both audits and financial services, with the guarantee that our product will streamline processes for the financial industry.nOur current client base holds a number of blue- chip companies, mainly comprising audit firms and financial institutions who utilise our software to gather financial information from their clients.

Validis has experienced significant growth since its inception and to support this, we are looking to expand our teams across number of strategic areas.

At Validis we have a core focus on the two interconnected concepts of diversity & inclusion. We are a collaborative business who empower equal opportunities across all departments.

With our innovative approach to hiring, we enable employees to be individual, contribute openly and embrace the integrity of their own ideas.

Validis believe in unbelievable talent and in turn provide a valuable and integrated workplace for you to excel in.

We believe in the power of being... YOU

About the rolenWe are looking for a skilled and motivated Mid-Level Data Engineer to join our growing team. This role will be fully remote, offering flexibility and the chance to contribute to our data infrastructure. In this role, you will work closely with data engineers and analysts to design, develop, and implement data pipelines.


Key responsibilities of the Mid-Level Data Engineer;nDesign, develop, and implement ETL pipelines to extract data from various sources (databases, APIs, etc.).nDesigning and implementing CI/CD workflows for data engineering projects.nCleanse, transform, and validate data to ensure high quality and consistency before loading it into data warehouses or data lakes.nAssist in optimizing ETL processes for efficiency, scalability, and performance.nDevelop and maintain documentation for data pipelines and data models.nTroubleshoot and resolve ETL-related issues, ensuring data accuracy and integrity.nCollaborate with data analysts, data scientists, and other engineers to understand data needs and business requirements.nStay up-to-date with the latest trends and technologies in the data engineering field, particularly in the area of ETL tools and frameworks.nParticipate in code reviews and knowledge-sharing sessions within the team.


About YounWe're looking for a Mid-Level Data Engineer who is eager to learn new skills whilst contributing to a fast-paced SaaS environment.


Here's what makes you a great fit:

n4-6 years of experience as a Data Engineer or similar role.nExperience designing and implementing CI/CD workflows for data engineering projects.nProven ability to leverage CI/CD tools to streamline data pipeline development and deployment.nExperience designing and implementing ETL pipelines using tools like Apache Airflow, Luigi, Spark, or similar frameworks (familiarity is a plus).nUnderstanding of data warehousing concepts and data modelling techniques.nExperience with SQL and proficiency in writing queries (e.g., T-SQL, PostgreSQL).nFamiliarity with cloud platforms (AWS, GCP, Azure) is a plus.nA strong focus on data quality.nEffective communication and collaboration skills to work with cross-functional teams.nEager to learn and grow your data engineering skills.

Interested in joining

Validis.... check out our careers page to find out morenValidis Careers