Ensure your CV format is structured to best highlight your unique experience and life situation.
Data Engineer CV Template (Text Format)
PERSONAL STATEMENT
Data engineer with 4 years of experience in ETL processes, data analysis, and pipeline maintenance. Proven ability to work in agile, cross-functional teams to support product development and delivery. Skilled in ensuring data quality and committed to ethical data practices. Seeking to apply my skills to the data engineer role at Cambridge Solutions.
TECHNICAL SKILLS
- Python, SQL
- Apache Airflow
- MySQL
- Amazon Web Services (Lambda)
- Data warehousing (Snowflake)
- Data visualisation (Tableau)
- Solid understanding of data governance and security
PROFESSIONAL EXPERIENCE
Data Engineer
Canada Innovations, London
Jan 20XX – Present
- Develop and maintain robust ETL pipelines that process large-scale media data from multiple sources, ensuring high availability and reliability of data services
- Work alongside software engineers, analysts, and product managers to deliver data-driven features for media streaming services
- Optimised data storage solutions, implementing partitioning and indexing strategies that reduced query times by 50% and improved user experience
- Collaborate on the development of a data governance framework to ensure compliance with GDPR
Junior Data Technician
Bridgeton Knight, Manchester
Sep 20XX – Dec 20XX
- Assisted in the design and implementation of ETL processes for media data, supporting the data needs of multiple departments
- Conducted data quality checks and addressed issues in data pipelines, ensuring reliable data delivery to downstream applications
- Worked closely with senior data professionals to optimise data storage and retrieval processes, improving data accessibility for analysts and other stakeholders
- Provided technical support for data-related queries, helping to resolve issues quickly and efficiently
PROJECTS
Content Recommendation Dashboard
Data visualisation project, 20XX
- Developed a Tableau dashboard to visualise content recommendation performance, enabling better decision-making for content strategies
Data Pipeline Optimisation
Process improvement, 20XX
- Assisted in optimising an ETL pipeline for media data, reducing processing times by 25% and improving data availability
User Behaviour Analysis
Data analysis, 20XX
- Conducted an analysis of user behaviour data to identify trends, contributing to a targeted marketing campaign that increased user engagement by 10%
EDUCATION
BSc in Computer Science
University of Manchester
Graduated: 20XX
CERTIFICATIONS
- Google Cloud Associate Cloud Engineer
- Certified Data Management Professional (CDMP) – Associate Level
How to write a data engineer CV
Before you begin writing, make sure you know how to write a CV in a way that best emphasises your strengths.
A strong data engineer CV should highlight your technical expertise, relevant project experience, and the ability to work with large datasets and complex systems.
Follow these steps to build a CV that stands out to hiring managers in the tech industry.
1. Highlight key projects that demonstrate your ability to build and optimise data systems
Include a dedicated projects section after your professional experience to showcase your hands-on data engineering expertise. Choose projects where you built or optimised data pipelines, managed big data solutions, or implemented new data architecture.
Be sure to focus on the impact of these projects by highlighting the tools and technologies you used (e.g., Apache Spark, AWS, Kafka) and the measurable outcomes you achieved, such as reducing data processing times, increasing data reliability, or enabling real-time analytics.
Example projects section entry for a data engineer CV
Optimised Data Pipeline for E-commerce Platform
Data pipeline project, 20XX
- Designed and implemented an ETL pipeline using Apache Spark and Python, reducing data processing time from 12 hours to 3 hours and cutting storage costs by 40% through integration with AWS S3 and Redshift
2. Write a personal statement that highlights your technical background and problem-solving skills
Your personal statement should summarise your years of experience, technical skills, and key achievements.
Focus on your ability to design, build, and optimise scalable data pipelines and data warehousing solutions. Also, mention your expertise in relevant tools and languages (e.g., SQL, Python, AWS, Azure) and how your work has delivered value in previous roles.
Example data engineer CV personal statement
Results-driven data engineer with 5+ years of experience designing and optimising scalable data pipelines and infrastructure for tech and finance companies. Expert in Python, SQL, and AWS, with a strong track record of developing ETL processes that improve data processing speeds by up to 70%. Proven ability to collaborate with cross-functional teams to implement data solutions that enhance business intelligence and decision-making. Looking to leverage my skills to drive data strategy and innovation at [Company Name].
3. Focus your technical skills section on the tools and platforms relevant to data engineering
Your skills section should clearly and concisely showcase the tools, technologies, and programming languages you are proficient in. Highlight skills that are most relevant to the data engineering role you’re applying for, including specific platforms, data processing frameworks, cloud services, and tools that demonstrate your ability to build and optimise data infrastructure.
Ensure that each skill listed is relevant and valuable to the data engineer job description to make a strong impact on hiring managers.
Valuable skills for a data engineer CV
- Python, SQL
- Apache Spark
- Apache Airflow
- Amazon Web Services (Lambda, S3, Redshift)
- Google Cloud Platform (BigQuery)
- Data warehousing (Snowflake)
- ETL tools (Informatica)
- Docker, Kubernetes
- Data modelling (Star Schema, Snowflake Schema)
- Data pipeline orchestration (Apache NiFi)
4. Detail your professional experience
The professional experience section should highlight your contributions to building, optimising, and maintaining data infrastructure.
Use bullet points to list key achievements that showcase your impact, such as reducing data processing times, improving data reliability, or leading data migration efforts. Quantify your accomplishments to provide context and make them more impactful.
Example professional experience section for a data engineer CV
Data Engineer
XYZ Financial Services, London
July 20XX – Present
- Built and optimised scalable ETL pipelines using Apache Spark and Python to process 5 terabytes of transactional data daily
- Led a cross-functional team to migrate on-premises data systems to AWS Redshift, reducing average query times from 10 seconds to 4 seconds and saving £150,000 annually in infrastructure costs
- Implemented data quality frameworks that improved data reliability, catching over 500 data inconsistencies monthly and reducing reporting errors from 100 to 15 per month
- Developed automation scripts with Python and Apache Airflow to schedule and monitor over 200 daily data jobs, cutting manual intervention from 5 hours to 30 minutes per day
