Your trusted source for hiring top data engineers, engineers, experts, programmers, freelancers, coders, contractors, and consultants in the United Kingdom — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
Vetted data engineer in the United Kingdom (UTC+1)
Specialises in cloud data & analytics platform architecture, modernisation and deployment. I work well with stakeholders to quickly establish requirements, discover data stores, map out strategies, and identify key insights for the business to leverage on. PRINCE 2 Practitioner, Agile Projects. All things Data!"
Vetted data engineer in the United Kingdom (UTC+1)
Looking for Microsoft Partner to associate my MCP ID with. View my ebook on Amazon ... https://www.amazon.co.uk/Data-Analytics-All-Power-Commercial-ebook/dp/B0821V8R15 Verify "Microsoft Certified Solutions Expert in Data Management and Analytics Consultant inc. Microsoft Fabric, Synapse and Power BI" status on the following link ... https://learn.microsoft.com/en-us/users/kieranwood-6787/transcript/vpmmrc3kjqk1wlz?source=docs Kieran is one of the most endorsed and recommended Microsoft Data Platform Consultants within the UK. He is an established trainer, mentor and public speaker on Power BI, Fabric and the Microsoft Data Platform stack including Azure Architecture, Azure Synapse, Azure Data Factory and Azure SQL Database. Kieran continually invests time and resources to research into further optimising the way our customers can increase their business insights using their own data. This is while Kieran strives to spend each day delivering pragmatic solutions catering for the customer’s immediate needs. Kieran is also an expert in creating data analytics solutions which provide advanced data analytics based on multi-billion row record sets. My Microsoft Certification includes Microsoft Fabric, Azure Data Engineering, Azure Enterprise Data Analysts, Azure Data Analyst (Power BI), Azure Administrator and Expert Level certification in T-SQL, SSIS, SSAS and SSRS. https://community.powerbi.com/t5/Data-Stories-Gallery/Power-BI-Best-Practice-Recommendation/m-p/745072#M2786 https://community.powerbi.com/t5/Data-Stories-Gallery/DAX-Reference/m-p/729697#M2738 Twitter url; - https://twitter.com/KieranIBI
Vetted data engineer in the United Kingdom (UTC-4)
With over four years of experience, I specialize in data engineering, analytics, and architecture with proficiency in both cloud and on-premises environments. My expertise lies in data ingestion, ETL/ELT pipeline design, and data modelling, with hands-on experience in OLTP and OLAP databases across various development and production settings. I am adept at utilizing tech stacks including GCP, Azure ADF, Gen2 Data Lake, DBT, Python, SQL, and Snowflake to drive efficient ETL pipeline design, data transformation, and modelling. I am eager to contribute my skills in a dynamic role that fosters business growth through exceptional value and service to end users.
Vetted data engineer in the United Kingdom (UTC+1)
As a Data Engineer at MATCHES, I work with cutting-edge technologies to build data solutions that support the company's data-driven culture and business goals. I use Spark, and Databricks to design and implement data pipelines, data transformations, data quality and validation, data cataloging, and data warehouse solutions. In my previous role at NorthBay Solutions, I contributed to several projects that involved ETL, data lake, AWS Services, Kafka Confluent, Data Monitoring, and Obesverbility. I am a flexible and adaptable developer, willing to tackle challenges as they come along.
Vetted data engineer in the United Kingdom (UTC+1)
15+ years’ experience as Azure Data Architect, SQL Server Consultant, Data Engineer, & Database Developer across a wide range of sectors including Startups, Financial Services & Investment Banking, Healthcare, Insurance and Retail.
Vetted data engineer in the United Kingdom (UTC+1)
\- Highly skilled and motivated senior data engineer/data analyst with a proven track record in designing, building, and maintaining large-scale data systems. \- Expertise spans the entire data lifecycle: modeling, designing, ingestion, storage, processing, integration, visualization, and quality testing. \- Proficient in architecting robust, scalable data pipelines using technologies like Azure Databricks, Data Lake Storage, Data Factory, Blob Storage, Python, PySpark, PyTest, SQL, and Great Expectations. \- Experienced in data ingestion from diverse sources: structured databases (Oracle, SQL Server), semi-structured formats (JSON, XML), unstructured data (text, multimedia files), and REST APIs. \- Strong skills in data transformation and processing, efficiently manipulating, cleansing, and transforming large volumes of data with PySpark. \- Deep understanding of data warehousing concepts, data modeling techniques, and query optimization strategies, delivering optimized solutions for data storage and retrieval. \- Well-versed in data quality assurance and implementing robust data governance practices to ensure data integrity, compliance, and security. \- Excel at extracting valuable insights and patterns from complex datasets using advanced statistical techniques and data mining algorithms. \- Skilled in creating visually compelling dashboards and reports with visualization tools and frameworks, effectively communicating data-driven insights to stakeholders for informed decision-making. \- Ability to bridge the gap between data engineering and data analysis, bringing a comprehensive approach to projects and enabling organizations to derive actionable insights from their data.
Vetted data engineer in the United Kingdom (UTC+1)
I am an experienced Subsurface Data Management Specialist/Data Analyst and Data Engineer with 21+ years in Oil and Gas E&P. Comprehensive knowledge of the upstream sector and E&P lifecycle, including a deep understanding of geological and geophysical domains, subsurface data types, and formats backed by significant experience in the petroleum industry. Proficient in Geoscience data management within G&G applications for vendors like Schlumberger, Halliburton, Paradigm/Emerson, and numerous others. Proficient in Cloud-based Data Engineering on Microsoft Azure, with expertise in end-to-end automation encompassing the creation and supervision of data pipelines. Proficient in extracting and visualizing data in Power BI dashboards, incorporating diverse data visualizations. Engaged in worldwide data management, executing data cleansing and automation initiatives aligned with cutting-edge industry standards. Collaborated with small, independent, and super-major oil companies and service providers, while acting as the head, Data Management team overseeing local and offshore resources to meet and exceed customer expectations consistently. Skilled in project management, and a problem-solving innovator. Involve and manage projects that support digital transformation. I have undertaken assignments across Europe, Pakistan, the Middle East, and Africa, contributing to various projects. My substantial international experience includes adeptly addressing client challenges while delivering exceptional customer support to globally diverse organizations such as bp (Aberdeen - UK), SAIC/Wipro (Aberdeen – UK), LMKR/Halliburton (Islamabad - Pakistan), KJO (Khafji - Saudi), ADNOC group of companies (Abu Dhabi - UAE), and ENI (Cairo - Egypt).
Vetted data engineer in the United Kingdom (UTC+1)
Senior Data Engineer with a strong focus on Data architecture, Data modeling, Cloud architecture and Data Governance.
Vetted data engineer in the United Kingdom (UTC+1)
I am, quite simply, a data fanatic with over 14 years of IT experience. Extensive experience in complete software development life cycle. I am passionate about data, and I have evolved together with data: having mastered the art of Data Warehousing and BI, I have since embraced modern technologies in Big Data, Azure Databricks, Azure Data Lake, Cloud Databases (Snowflake, Azure DW/SQL, AWS Redshift) and have experience in processing large data sets in different formats in both batch and real-time.
Vetted data engineer in the United Kingdom
Data Engineer with over 5 years of experience in developing Python-based solutions and leveraging Machine Learning algorithms to address complex challenges. I have a strong background in Data Integration, Data Warehousing, Data Modelling, and Data Quality. I excel at implementing and maintaining both batch and streaming Big Data pipelines with automated workflows. My expertise lies in driving data-driven insights, optimizing processes, and delivering value to businesses through a comprehensive understanding of data engineering principles and best practices. KEY SKILLS Python | SQL | PySpark | JavaScript | Google cloud platform (GCP) | Azure | Amazon web services (AWS) | TensorFlow | Keras | ETL | ELT | DBT | BigQuery | BigTable | Redshift | Snowflake | Data warehouse | Data Lake | Data proc | Data Flow | Data Fusion | Data prep | Pubsub | Looker | Data studio | Data factory | Databricks | Auto ML | Vertex AI | Pandas | Big Data | Numpy | Dask | Apache Beam | Apache Airflow | Azure Synapse | Cloud Data Loss Prevention | Machine Learning | Deep learning | Kafka | Scikit Learn | Data visualisation | Tableau | Power BI | Django | Git | GitLab |
Discover more freelance data engineers today
Meet dedicated data engineers who are fully vetted for domain expertise and English fluency.
Stop reviewing 100s of resumes. View data engineers instantly with HireAI.
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Feel confident hiring data engineers with hands-on help from our team of expert recruiters.
Share with us your goals, budget, job details, and location preferences.
Connect directly with your best matches, fully vetted and highly responsive.
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Ready to hire your ideal data engineers?
Get startedArc offers pre-vetted full-time and freelance developers skilled in every programming language, framework, and technology. Look through our popular remote engineer specializations below.
Arc helps you build your team with our network of full-time and freelance data engineers worldwide.
We assist you in assembling your ideal team of professionals in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a data engineer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote data engineers can help keep your website up-to-date.
To hire a data engineer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire data engineers effectively and efficiently. Hire full-time data engineers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance data engineers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted data engineers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right data engineers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire data engineers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find data engineers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote data engineers, consider niche platforms like Arc that naturally attract and carefully vet their data engineers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote data engineers.
Some factors to consider when you hire data engineers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find data engineers for hire.
Writing a good data engineer job description is crucial in helping you hire data engineers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote data engineer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire data engineers, read our Engineer Job Description Guide & Templates.
The top five technical skills data engineers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable data engineers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for data engineers to keep up with evolving technology and requirements.
You can find a variety of data engineers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance data engineers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote data engineers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready data engineers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled data engineers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire data engineers.
Every data engineer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified data engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted data engineer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified data engineers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire data engineers, you can rest assured that all remote data engineers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote data engineers before we present them to you. As such, all the remote data engineers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance data engineer in 72 hours, or find a full-time data engineer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote data engineers.
Depending on the freelance developer job board you use, freelance remote data engineers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find data engineers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire data engineers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote data engineer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring data engineers, check out our FAQs page.