Data Engineer

Evantis Recruitment; Bournemouth; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading recruitment firm is looking for a skilled Data Engineer in Bournemouth. This role involves designing and maintaining data pipelines to provide actionable insights for business decisions. Candidates should have experience in ETL/ELT processes, strong analytical skills, and familiarity with cloud platforms. The position offers a full-time contract and requires on-site attendance five days a week.

Qualifications

• Proven experience in designing and building ETL/ELT data pipelines using modern technologies.
• Strong analytical skills to interpret complex data and deliver insights.
• Familiarity with cloud data platforms like AWS, Azure, or GCP.

Responsibilities

• Design and implement scalable ETL/ELT pipelines for data collection and transformation.
• Analyze datasets to extract actionable insights and present findings to stakeholders.
• Provide well-structured data to support predictive models and algorithms.

Skills

Data pipeline development

ETL/ELT processes

Python

SQL

Spark

Airflow

Data analysis

Cloud platforms

Job description

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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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