Data Engineer

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Lead Technical Recruiter (UK & EU) at Okeva

FTE

Bournemouth, UK

5 Days onsite a week Mandatory

We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the bank’s ability to manage cash efficiently and make data-driven decisions.

Key Responsibilities

End-to-End Data Pipeline Development

Design, implement, and maintain scalable ETL/ELT pipelines for collecting, transforming, and delivering data across systems.

Ensure data quality, reliability, and timeliness throughout the pipeline.

Data Integration & Movement

Develop secure and efficient solutions for data movement between internal and external systems.

Work with both structured and unstructured data sources.

Analytical Insights

Analyze large datasets to extract actionable insights and present findings in a business-friendly format.

Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.

Algorithm Support

Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement.

Work closely with product, engineering, and business teams to understand requirements and deliver solutions.

Document processes and share knowledge with team members.

Required Qualifications

Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (Python, SQL, Spark, Airflow, etc.).

Strong analytical skills with the ability to interpret complex data and deliver business value.

Experience integrating data from multiple sources and systems.

Familiarity with cloud data platforms (AWS, Azure, GCP) and big data technologies.

Ability to work independently and collaboratively in a fast-paced environment.

Excellent communication and documentation skills.

Preferred Qualifications

Awareness or experience with financial concepts, especially in banking or cash management.

Experience supporting predictive analytics or machine learning workflows.

Knowledge of data governance, security, and compliance in financial services.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Other

Industries

Technology, Information and Media

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