Senior Data Engineer

• Design, build and maintain scalable data platforms, pipelines and warehouses using SQL, Python, Spark and other relevant technologies. • Build efficient data solutions, optimise performance and ensure seamless data integration across a variety of client projects. • Translate complex business requirements into innovative digital products as part of the Engineering function. • Join an independent team of 500 data, AI, engineering and design experts across 20+ countries. • Work hybrid from the UK with travel of up to one week per month onsite in Germany.

• Bring significant experience at Senior Engineer level specialising in data engineering, typically at least 6 years of commercial experience. • Bring extensive hands-on experience in SQL, Python and Spark for large-scale data processing. • Bring Databricks experience and strong expertise in data warehousing technologies such as Snowflake, Redshift or BigQuery. • Work with distributed data processing frameworks such as Spark or Hadoop, with a deep understanding of ETL, data modeling and schema design. • Bring strong experience with cloud-based data solutions across AWS, Azure or GCP and data lake architectures. • Apply automation, CI/CD for data pipelines and Infrastructure as Code, with deep understanding of version control tools such as Git. • Build software collaboratively using pull requests and code reviews, with familiarity in data governance, security and compliance. • Hold a valid passport for travel and be able to spend up to one week per month onsite in Germany.

• Bring practical experience delivering in an agile environment. • Bring hands-on experience building real-world data solutions end to end. • Bring strong communication skills for collaborating with data scientists, analysts and client stakeholders.

• Design, build and optimise data pipelines and ETL processes for large-scale data ingestion and transformation. • Develop and maintain data platforms and warehousing solutions that support analytics and business intelligence needs. • Implement scalable data storage solutions, ensuring high availability, performance and data quality. • Collaborate with data scientists, analysts and stakeholders to translate business needs into data engineering solutions. • Support CI/CD for data pipeline deployments and apply DevOps best practices to data workflows. • Conduct code reviews, enforce best practices in version control, automation and testing, and support Technical Leaders in timely delivery.

• Earn up to £90,000 plus an annual company bonus tied to company performance. • Take 25 days of annual leave plus public holidays, along with sick leave, marriage leave and more. • Work remotely and flexibly with a genuine dedication to work/life balance. • Receive a remote working allowance of up to €1,250 (GBP equivalent) every two years on top of essential equipment. • Use a training and development allowance of up to €1,000 (GBP equivalent) to upskill. • Get private healthcare, a pension match of up to 5%, plus Income Protection and Death in Service cover.

Nearform is an independent team of data and AI experts, engineers and designers who build intelligent digital solutions at pace. Its team of 500 experts across 20+ countries partners with ambitious enterprises to build breakthrough products and modernise legacy systems using AI. It is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media O2 and Walmart.