Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

SoftServe
Bristol
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Data Engineer

Senior Data Engineer / GCP / Looker / Big Query

Senior Data Engineer

Senior Data Analyst

Senior Data Analyst

Please note: this position requires relocation to Abu Dhabi for a minimum period of 12 months. Project duration: 36 months+. Softserve will support relocation of selected candidates.


WE ARE

SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates are currently working on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. We are about people who create bold things, who make a difference, who have fun, and who love their work.

Big Data & Analytics Center of Excellence, data consulting and data engineering branch at SoftServe. Starting as a group of three enthusiasts back in 2013, hundreds of Data Engineers and Architects nowadays build Data & Analytics end-to-end solutions from strategy through technical design and PoC to full-scale implementation. We have customers in Healthcare, Finance, Manufacturing, Retail, and Energy domains.

We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.


IF YOU ARE

Experienced with Python/PySpark

Proficient working with Databricks Lakehouse architecture and principles

Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems

Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse, Azure Data Lake Services

Skilled with advanced SQL working with relational databases

Knowledgeable of database and data warehouse design best practices

Experienced designing, building, and scaling streaming and batch data pipelines

Able to suggest the best solution among different options and conduct trade-off analysis, solve the problems

Engaging in communication with stakeholders in written and verbal form (Upper-Intermediate English level)


YOU WANT TO

Be part of a team of data-focused Engineers dedicated to continuous learning, improvement, and knowledge sharing every day.

Work with a cutting-edge technology stack, including pioneering services from major cloud providers that are at the forefront of innovation.

Engage with customers of diverse backgrounds, ranging from large global corporations to emerging start-ups preparing to launch their first product.

Be involved in the entire project lifecycle, from initial design and proof of concept (PoC) to minimum viable product (MVP) development and full-scale implementation.


TOGETHER WE WILL

Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence.

Support your technical and personal growth—we have a dedicated career plan for all roles in our company.

Investigate new technologies, build internal prototypes, and share knowledge with SoftServe Data Community.

Upskill with full access to Udemy learning courses.

Pass professional certifications, encouraged and covered by the company.

Adopt best practices from experts while working in a team of top-notch Engineers and Architects.

Collaborate with world-leading companies and attend professional events


All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status. SoftServe is an Equal Opportunity Employer.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.